ARIA Lab Architectures for Reliable Image Analysis

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TABLE Game 1 Game 2 Game 3 Total
Anna 144 123 218 485
Bill 90 175 120 385
Cara 102 214 233 549

It was the best of times it was the worst of times. It was the age of wisdom, it was the age of foolishness. It was the spring of hope, it was the winter of despair.

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Jekyll Spaceship

Stage Direct Products ATP Yields
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List

List citations

2026

Scaling up self-supervised learning for improved surgical foundation models
Tim J.M. Jaspers, Ronald L.P.D. de Jong, Yiping Li, Carolus H.J. Kusters, Franciscus H.A. Bakker, …, Josien P.W. Pluim, Peter H.N. de With, Marcel Breeuwer, Yasmina Al Khalil, Fons van der Sommen
Medical Image Analysis  ·  01 Feb 2026  ·  doi:10.1016/j.media.2025.103873
GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy
Martijn R. Jong, Tim G.W. Boers, Kiki N. Fockens, Jelmer B. Jukema, Carolus H.J. Kusters, …, Oliver Pech, Krish Ragunath, Pieter Scholten, Stefan Seewald, Bas L. Weusten
Gastroenterology  ·  01 Jan 2026  ·  doi:10.1053/j.gastro.2025.07.030

2025

Learning to recognize correctly completed procedure steps in egocentric assembly videos through spatio-temporal modeling
Tim J. Schoonbeek, Shao-Hsuan Hung, Dan Lehman, Hans Onvlee, Jacek Kustra, Peter H.N. De With, Fons Van der Sommen
Computer Vision and Image Understanding  ·  01 Dec 2025  ·  doi:10.1016/j.cviu.2025.104528
Comparison of graphic user interfaces for computer-aided detection in Barrett’s neoplasia
Jelmer B. Jukema, Martijn R. Jong, Carolus H.J. Kusters, Rixta van Eyck van Heslinga, Tim G.W. Boers, …, Lucas C. Duits, Fons van der Sommen, Peter H. de With, Albert J. de Groof, Jacques J. Bergman
Gastrointestinal Endoscopy  ·  01 Nov 2025  ·  doi:10.1016/j.gie.2025.02.040
Artificial Intelligence and radiomics models for the diagnosis and prognosis of peritoneal metastases on imaging: a systematic review and meta-analysis
Lotte J.S. Fleurkens-Ewals, Marion Tops-Welten, Cris H.B. Claessens, Jurgen M.J. Piek, Irene E.G. van Hellemond, Fons van der Sommen, Max J. Lahaye, Ignace H.J.T. de Hingh, Misha D.P. Luyer, Joost Nederend
Computers in Biology and Medicine  ·  01 Nov 2025  ·  doi:10.1016/j.compbiomed.2025.111188
Robust Early Detection of Barrett’s Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
Tim J. M. Jaspers, Francisco Caetano, Cris H. B. Claessens, Carolus H. J. Kusters, Haiko Middeljans, …, Floor Slooter, Albert Jeroen de Groof, Jacques J. Bergman, Peter H. N. De With, Fons van der Sommen
Lecture Notes in Computer Science  ·  12 Oct 2025  ·  doi:10.1007/978-3-032-08009-7_17
Spline-Based Shape Compression for Interventional Device Tracking
Roman Pavelkin, Luis A. Zavala-Mondragon, Ahmet Ekin, Fons van der Sommen
Lecture Notes in Computer Science  ·  05 Oct 2025  ·  doi:10.1007/978-3-032-06774-6_14
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Lemar Abdi, Francisco Caetano, Amaan Valiuddin, Christiaan Viviers, Hamdi Joudeh, Fons van der Sommen
Lecture Notes in Computer Science  ·  29 Sep 2025  ·  doi:10.1007/978-3-032-06593-3_9
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
Francisco Caetano, Lemar Abdi, Christiaan Viviers, Amaan Valiuddin, Fons van der Sommen
Lecture Notes in Computer Science  ·  25 Sep 2025  ·  doi:10.1007/978-3-032-05472-2_4
SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition
Yiping Li, Ronald de Jong, Sahar Nasirihaghighi, Tim Jaspers, Romy van Jaarsveld, …, Richard van Hillegersberg, Fons van der Sommen, Jelle Ruurda, Marcel Breeuwer, Yasmina Al Khalil
Lecture Notes in Computer Science  ·  20 Sep 2025  ·  doi:10.1007/978-3-032-05127-1_46
Designing a Computer-Aided Detection system for Barrett ’s neoplasia: Insights in architectural choices, training strategies and inference approaches
Carolus H.J. Kusters, Tim G.W. Boers, Tim J.M. Jaspers, Martijn R. Jong, Rixta A.H. van Eijck van Heslinga, …, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. De With
Computer Methods and Programs in Biomedicine  ·  01 Sep 2025  ·  doi:10.1016/j.cmpb.2025.108891
Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits
Terese A.E. Thornblad, Lotte J.S. Ewals, Joost Nederend, Misha D.P. Luyer, Peter H.N. De With, Fons van der Sommen
Computers in Biology and Medicine  ·  01 Sep 2025  ·  doi:10.1016/j.compbiomed.2025.110780
Trust in artificial intelligence
Digestive Disease Days, Netherlands, 16/03/22  ·  27 Aug 2025  ·  [no id info]
Confidence Calibration using a Bayesian Variational Inference-based approach for Colorectal Polyp Classification
26th UK Conference on Medical Image Understanding and Analysis, Cambridge, United Kingdom, 27/07/22  ·  27 Aug 2025  ·  [no id info]
Automatic annotation of early cancer in Barrett’s Esophagus : a Gabor-based approach
7th Biomedica: the European Life Sciences Summit, 18-19 June 2013, Aachen,Germany, Aachen, Germany, 18/06/13  ·  10 Jul 2025  ·  [no id info]
Computer-aided detection of early cancerous lesions in the esophagus using local Gabor and color features of HD endoscopic images
Proceedings of the Netherlands Conference on Computer Vision (NCCV), April 24-25, 2014, Ermelo, The Netherlands  ·  10 Jul 2025  ·  [no id info]
A learning system for cancer detection
Connecthor  ·  10 Jul 2025  ·  [no id info]
Biopsy-needle depth estimation in limited-angle tomography using multiple view geometry
IEEE Western European Student and Young Professional congress (WESYP), May 20-24, 2015, Eindhoven, The Netherlands., Eindhoven, Netherlands, 20/05/15  ·  10 Jul 2025  ·  [no id info]
A novel approach for real-time semantic context labeling
The Netherlands Conference on Computer Vision (NCCV 2015), Lunteren, Netherlands, 14/09/15  ·  10 Jul 2025  ·  [no id info]
Evaluation and comparison of computer vision methods for early Barrett's cancer detection using volumetric laser endomicroscopy
NCCV'16, the Netherlands Conference on Computer Vision, December 12-13, 2016, Lunteren, The Netherlands  ·  10 Jul 2025  ·  [no id info]
Computer vision for cancer detection
Connecthor  ·  10 Jul 2025  ·  [no id info]
Polyp malignancy classification with CNN features based on Blue Laser and Linked Color Imaging
The Netherlands Conference on Computer Vision (NCCV 2018), 26/09/18  ·  10 Jul 2025  ·  [no id info]
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)  ·  10 Jul 2025  ·  [no id info]
A multi-wafer case study for 3D geometry prediction of FinFET-like structures with top-down SEM imaging
International Microscopy Congress (IMC20)  ·  10 Jul 2025  ·  [no id info]
Evaluation of an improved computer-aided detection system for Barrett’s neoplasia in real-world imaging conditions
Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Carolus H. J. Kusters, Tim J. M. Jaspers, Tim G. W. Boers, …, Alaa Alkhalaf, Fons van der Sommen, Peter H. N. de With, Albert J. de Groof, Jacques J. Bergman
Endoscopy  ·  25 Jun 2025  ·  doi:10.1055/a-2642-7584
Scalable data harmonization for single-cell image-based profiling with CytoTable
Dave Bunten, Jenna Tomkinson, Erik Serrano, Michael J. Lippincott, Kenneth I. Brewer, Vince Rubinetti, Faisal Alquaddoomi, Gregory P. Way
openRxiv  ·  25 Jun 2025  ·  doi:10.1101/2025.06.19.660613
The Association Between Heatmap Position and the Diagnostic Accuracy of Artificial Intelligence for Colorectal Polyp Diagnosis
Ayla Thijssen, Nikoo Dehghani, Ruud W. M. Schrauwen, Eric T. P. Keulen, Eveline J. A. Rondagh, …, Quirine E. W. van der Zander, Peter H. N. de With, Bjorn Winkens, Fons van der Sommen, Erik J. Schoon
Cancers  ·  10 May 2025  ·  doi:10.3390/cancers17101620
Self-supervised learning for automated image quality assessment in endoscopy
Tim J. M. Jaspers, Martijn R. Jong, Carolus H. J. Kusters, Tim G. W. Boers, Rixta A. H. Van Eijck van Heslinga, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3045901
Evaluating the interpretability of prototype networks for medical image analysis
Pieter Gort, Cris Claessens, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3046678
Diffusion-based lung nodule synthesis for advanced evaluation of deep learning models
Cris Claessens, Francisco Caetano, Kasper van der Wulp, Lotte Ewals, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3046681
AdverX-Ray: ensuring x-ray integrity through frequency-sensitive adversarial VAEs
Francisco Caetano, Christiaan Viviers, Lena Filatova, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3045893
Data-tailored shape compression for interventional device tracking
Roman A. Pavelkin, Luis Albert Zavala-Mondragon, Ahmet Ekin, Peter H. de With, Fons van der Sommen
Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  07 Apr 2025  ·  doi:10.1117/12.3046120
Benchmarking pretrained attention-based models for real-time recognition in robot-assisted esophagectomy
Ronald de Jong, Yasmina al Khalil, Tim Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Yiping Li, Richard van Hillegersberg, Jelle P. Ruurda, Marcel Breeuwer, Fons van der Sommen
Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  07 Apr 2025  ·  doi:10.1117/12.3045187
Multiclass characterization of colorectal polyps under class imbalance using a calibrated cascade model
Nikoo Dehghani, Ayla Thijssen, Quirine E. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. de With, Fons van der Sommen
Medical Imaging 2025: Computer-Aided Diagnosis  ·  04 Apr 2025  ·  doi:10.1117/12.3047163
Identifying key challenges in ovarian tumor classification: a comparative study using deep learning and radiomics
Eloy Schultz, Terese A. E. Hellström, Cris Claessens, Anna H. Koch, Joost Nederend, Ilse Niers-Stobbe, Annemarie Bruining, Jurgen M. J. Piek, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2025: Computer-Aided Diagnosis  ·  04 Apr 2025  ·  doi:10.1117/12.3045208
2.5D mapping of the esophagus as imaging quality and completeness assuring extension for endoscopic computer-aided detection systems
Esmee Esselaar, Tim J. M. Jaspers, Carolus H. J. Kusters, Tim G. W. Boers, Martijn R. Jong, Rixta A. H. Van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Computer-Aided Diagnosis  ·  04 Apr 2025  ·  doi:10.1117/12.3046636
Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real‐World Imaging Conditions on Barrett's Neoplasia Detection
M. R. Jong, T. J. M. Jaspers, C. H. J. Kusters, J. B. Jukema, R. A. H. van Eijck van Heslinga, …, J. A. van der Putten, F. van der Sommen, P. H. de With, A. J. de Groof, J. J. Bergman
United European Gastroenterology Journal  ·  21 Mar 2025  ·  doi:10.1002/ueg2.12760
Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in patients with pancreatic adenocarcinoma
Mike J.P. de Jong, Foke van Delft, Fer D.W. Radstake, Tom H. Perik, Geke Litjens, Tanya M. Bisseling, Fons van der Sommen, Erwin-Jan M. van Geenen, John J. Hermans, Peter D. Siersema
Pancreatology  ·  01 Mar 2025  ·  doi:10.1016/j.pan.2025.01.011
The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy
Martijn R. Jong, Tim J. M. Jaspers, Rixta A. H. van Eijck van Heslinga, Jelmer B. Jukema, Carolus H. J. Kusters, …, Lucas C. Duits, Peter H. N. de With, Fons van der Sommen, Albert Jeroen de Groof, Jacques J. G. H. M. Bergman
Endoscopy  ·  11 Feb 2025  ·  doi:10.1055/a-2537-3510
Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems
Martijn R. Jong, Carolus H. J. Kusters, Querijn N. E. van Bokhorst, Jelmer B. Jukema, Rixta A. H. van Eijck van Heslinga, …, Evelien Dekker, Fons van der Sommen, Peter H. N. de With, Albert J. de Groof, Jacques J. G. H. M Bergman
Endoscopy  ·  30 Jan 2025  ·  doi:10.1055/a-2530-1845
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan Viviers, Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2025  ·  doi:10.1007/978-3-031-91585-7_12
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization
Carolus H.J. Kusters, Tim J.M. Jaspers, Tim G.W. Boers, Martijn R. Jong, Jelmer B. Jukema, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. De With
Medical Image Analysis  ·  01 Jan 2025  ·  doi:10.1016/j.media.2024.103348
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Medical Imaging  ·  01 Jan 2025  ·  doi:10.1109/TMI.2024.3445999
Scaling up self-supervised learning for improved surgical foundation models
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yiping Li, Carolus H. J. Kusters, Franciscus H. A. Bakker, …, Josien P. W. Pluim, Peter H. N. de With, Marcel Breeuwer, Yasmina Al Khalil, Fons van der Sommen
arXiv  ·  01 Jan 2025  ·  doi:10.48550/arXiv.2501.09436
Find the Assembly Mistakes: Error Segmentation for Industrial Applications
Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2025  ·  doi:10.1007/978-3-031-92805-5_14
SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
Yiping Li, Ronald de Jong, Sahar Nasirihaghighi, Tim Jaspers, Romy van Jaarsveld, …, Richard van Hillegersberg, Fons van der Sommen, Jelle Ruurda, Marcel Breeuwer, Yasmina Al Khalil
arXiv  ·  01 Jan 2025  ·  doi:10.48550/arXiv.2506.01471

2024

Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Tim G.W. Boers, Kiki N. Fockens, Joost A. van der Putten, Tim J.M. Jaspers, Carolus H.J. Kusters, …, Maarten R. Struyvenberg, Jeroen de Groof, Jacques J. Bergman, Peter H.N. de With, Fons van der Sommen
Medical Image Analysis  ·  01 Dec 2024  ·  doi:10.1016/j.media.2024.103298
Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction
Quirine E.W. van der Zander, Rachel Roumans, Carolus H.J. Kusters, Nikoo Dehghani, Ad A.M. Masclee, Peter H.N. de With, Fons van der Sommen, Chris C.P. Snijders, Erik J. Schoon
Gastrointestinal Endoscopy  ·  01 Dec 2024  ·  doi:10.1016/j.gie.2024.06.029
Supervised Representation Learning Towards Generalizable Assembly State Recognition
Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H.N. de With, Fons van der Sommen
IEEE Robotics and Automation Letters  ·  01 Nov 2024  ·  doi:10.1109/LRA.2024.3468157
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, …, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. De With, Fons van der Sommen
Lecture Notes in Computer Science  ·  25 Oct 2024  ·  doi:10.1007/978-3-031-73748-0_5
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
Giulio Antonelli, Diogo Libanio, Albert Jeroen De Groof, Fons van der Sommen, Pietro Mascagni, …, Marco Spadaccini, Raf Bisschops, Jacques J G H M Bergman, Cesare Hassan, Mario Dinis Ribeiro
Gut  ·  15 Oct 2024  ·  doi:10.1136/gutjnl-2024-332820
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
Cris H.B. Claessens, Eloy W.R. Schultz, Anna Koch, Ingrid Nies, Terese A.E. Hellström, …, Ilse Niers-Stobbe, Annemarie Bruining, Jurgen M.J. Piek, Peter H.N. De With, Fons van der Sommen
Lecture Notes in Computer Science  ·  09 Oct 2024  ·  doi:10.1007/978-3-031-73376-5_1
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett’s Neoplasia
Carolus H. J. Kusters, Tim G. W. Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. De With
Lecture Notes in Computer Science  ·  09 Oct 2024  ·  doi:10.1007/978-3-031-73376-5_8
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
Lemar Abdi, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  03 Oct 2024  ·  doi:10.1007/978-3-031-73158-7_14
Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video)
Jelmer B. Jukema, Carolus H.J. Kusters, Martijn R. Jong, Kiki N. Fockens, Tim Boers, …, Irving Waxman, Jessie Westerhof, Bas L. Weusten, Peter H. de With, Herbert C. Wolfsen
Gastrointestinal Endoscopy  ·  01 Oct 2024  ·  doi:10.1016/j.gie.2024.04.013
The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures: a pilot study (with video)
Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Tim Boers, Joost A. van der Putten, …, Stefan Seewald, Fons van der Sommen, Jessie Westerhof, Bas L. Weusten, Peter H. de With
Gastrointestinal Endoscopy  ·  01 Sep 2024  ·  doi:10.1016/j.gie.2024.04.011
Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions
Ayla Thijssen, Ramon-Michel Schreuder, Nikoo Dehghani, Marieke Schor, Peter H.N. de With, Fons van der Sommen, Jurjen J. Boonstra, Leon M.G. Moons, Erik J. Schoon
Endoscopy International Open  ·  26 Aug 2024  ·  doi:10.1055/a-2403-3103
Segmentation CNNs are denoising models
{ICML 2024 Workshop on Mechanistic Interpretability  ·  09 Aug 2024  ·  [no id info]
Estimating Surgical Urethral Length on Intraoperative Robot-Assisted Prostatectomy Images Using Artificial Intelligence Anatomy Recognition
Aron F.H.A. Bakker, Joris V. de Nijs, Tim J.M. Jaspers, Peter H.N. de With, Alexander J.W. Beulens, Henk G. van der Poel, Fons van der Sommen, Willem M. Brinkman
Journal of Endourology  ·  01 Jul 2024  ·  doi:10.1089/end.2023.0697
Improved Pancreatic Cancer Detection and Localization on CT Scans: A Computer-Aided Detection Model Utilizing Secondary Features
Mark Ramaekers, Christiaan Viviers, Terese Hellström, Lotte Ewals, Nick Tasios, Igor Jacobs, Joost Nederend, Fons Sommen, Misha Luyer
Cancers  ·  29 Jun 2024  ·  doi:10.3390/cancers16132403
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy
Joris V. de Nijs, Tim J. M. Jaspers, Aron F.H.A. Bakker, Willem M. Brinkman, Peter H.N. de With, Fons van der Sommen
2024 IEEE International Symposium on Biomedical Imaging (ISBI)  ·  27 May 2024  ·  doi:10.1109/ISBI56570.2024.10635376
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies
Tim J.M. Jaspers, Tim G.W. Boers, Carolus H.J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H.N. de With, Fons van der Sommen
Medical Image Analysis  ·  01 May 2024  ·  doi:10.1016/j.media.2024.103157
Robustness evaluation of CAD systems for lung nodule segmentation using clinically relevant image perturbations
Fidan Mammadli, Terese A. E. Hellström, Christiaan G. A. Viviers, Igor Jacobs, Lotte J. S. Ewals, …, Dimitrios Mavroeidis, Hendrika P. M. Verhees, Peter H. N. de With, Joost Nederend, Fons van der Sommen
Medical Imaging 2024: Image Processing  ·  02 Apr 2024  ·  doi:10.1117/12.3006211
Evaluating task-specific augmentations in self-supervised pre-training for 3D medical image analysis
Cris Claessens, Julie Hamm, Christiaan G. A. Viviers, Joost Nederend, Dirk Grünhagen, Pieter Tanis, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2024: Image Processing  ·  02 Apr 2024  ·  doi:10.1117/12.3000850
Image quality pitfalls in AI: Safeguarding Barrett's neoplasia detection with robust deep learning training strategies
M. Jong, T. Jaspers, C. Kusters, J. Jukema, K. Fockens, …, T. Boers, F. Van Der Sommen, P. De With, J. De Groof, J. Bergman
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/S-0044-1782860
Domain-specific data augmentation improves robustness of endoscopic AI systems
M. Jong, C. Kusters, Q.N. E. van Bokhorst, J. Jukema, K. Fockens, …, E. Dekker, F. Van Der Sommen, P. De With, J. De Groof, J. Bergman
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/S-0044-1783480
Current evidence and future directions on improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence – a scoping review
A. Thijssen, R. M. Schreuder, N. Dehghani, M. Schor, P. De With, F. Van Der Sommen, J. Boonstra, L.M. G. Moons, E. J. Schoon
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/s-0044-1783377
Comparison of graphical user interfaces for computer-aided detection of Barrett’s neoplasia
M. Jong, J. Jukema, K. Fockens, R. van Eijck van Heslinga, C. Kusters, …, T. Jaspers, F. Van Der Sommen, P. De With, J. De Groof, J. Bergman
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/S-0044-1783240
Risks and rewards of AI democratization
Fons van der Sommen, Jeroen de Groof
United European Gastroenterology Journal  ·  25 Mar 2024  ·  doi:10.1002/ueg2.12560
The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter
JMIR AI  ·  13 Mar 2024  ·  doi:10.2196/52211
Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems
Quirine Eunice Wennie van der Zander, Ramon M Schreuder, Ayla Thijssen, Carolus H J Kusters, Nikoo Dehghani, …, Mirjam C M van der Ende - van Loon, Peter H N de With, Fons van der Sommen, Ad A M Masclee, Erik J Schoon
Artificial Intelligence in Gastrointestinal Endoscopy  ·  08 Mar 2024  ·  doi:10.37126/aige.v5.i1.90574
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H.N. de With, Fons Van der Sommen
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)  ·  03 Jan 2024  ·  doi:10.1109/WACV57701.2024.00431
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Image Processing  ·  01 Jan 2024  ·  doi:10.1109/TIP.2024.3378469
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing
Marissa Ramirez De Chanlatte, Phil Colella, Trevor Darrell, Alexandra Katherine Carlson, Peter H.N. De With, …, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)  ·  01 Jan 2024  ·  doi:10.1109/WACVW60836.2024.00088
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, …, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. De With, Fons van der Sommen
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2407.17904
Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy
Ronald L. P. D. de Jong, Yasmina al Khalil, Tim J. M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Yiping Li, Richard van Hillegersberg, Jelle P. Ruurda, Marcel Breeuwer, Fons van der Sommen
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2412.03401

2023

A deep learning system for detection of early Barrett's neoplasia: a model development and validation study
K N Fockens, M R Jong, J B Jukema, T G W Boers, C H J Kusters, …, Irving Waxman, Jessie Westerhof, Bas L Weusten, Peter H N de With, Herbert C Wolfsen
The Lancet Digital Health  ·  01 Dec 2023  ·  doi:10.1016/S2589-7500(23)00199-1
The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species
Tim E Putman, Kevin Schaper, Nicolas Matentzoglu, Vincent P Rubinetti, Faisal S Alquaddoomi, …, Damian Smedley, Peter N Robinson, Christopher J Mungall, Melissa A Haendel, Monica C Munoz-Torres
Nucleic Acids Research  ·  24 Nov 2023  ·  doi:10.1093/nar/gkad1082
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs
Luis Albert Zavala-Mondragón, Peter H.N. de With, Fons van der Sommen
IEEE Signal Processing Magazine  ·  01 Nov 2023  ·  doi:10.1109/MSP.2023.3300100
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models
Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese A. E. Hellström, Nick Tasios, …, Jon Pluyter, Igor Jacobs, Misha Luyer, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  26 Oct 2023  ·  doi:10.1007/978-3-031-47076-9_6
Investigating the Impact of Image Quality on Endoscopic AI Model Performance
Tim J. M. Jaspers, Tim G. W. Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  26 Oct 2023  ·  doi:10.1007/978-3-031-47076-9_4
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis
Carolus H. J. Kusters, Tim G. W. Boers, Tim J. M. Jaspers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  26 Oct 2023  ·  doi:10.1007/978-3-031-47076-9_3
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
Geke Litjens, Joris P. E. A. Broekmans, Tim Boers, Marco Caballo, Maud H. F. van den Hurk, …, Cees J. H. M. van Laarhoven, Mathias Prokop, Peter H. N. de With, Fons van der Sommen, John J. Hermans
Diagnostics  ·  13 Oct 2023  ·  doi:10.3390/diagnostics13203198
Integration of 168,000 samples reveals global patterns of the human gut microbiome
Richard J. Abdill, Samantha P. Graham, Vincent Rubinetti, Frank W. Albert, Casey S. Greene, Sean Davis, Ran Blekhman
openRxiv  ·  11 Oct 2023  ·  doi:10.1101/2023.10.11.560955
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers, Mark Ramaekers, Amaan Valiuddin, Terese Hellström, Nick Tasios, …, Lotte Ewals, Joost Nederend, Peter de With, Misha Luyer, Fons van der Sommen
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)  ·  02 Oct 2023  ·  doi:10.1109/ICCVW60793.2023.00256
The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study (Preprint)
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter
JMIR Publications Inc.  ·  27 Aug 2023  ·  doi:10.2196/preprints.52211
Computer-Aided Detection for Pancreatic Cancer Diagnosis: Radiological Challenges and Future Directions
Mark Ramaekers, Christiaan G. A. Viviers, Boris V. Janssen, Terese A. E. Hellström, Lotte Ewals, …, Jon R. Pluyter, Dimitrios Mavroeidis, Fons van der Sommen, Marc G. Besselink, Misha D. P. Luyer
Journal of Clinical Medicine  ·  22 Jun 2023  ·  doi:10.3390/jcm12134209
The Effects of Artificial Intelligence Assistance on the Radiologists’ Assessment of Lung Nodules on CT Scans: A Systematic Review
Lotte J. S. Ewals, Kasper van der Wulp, Ben E. E. M. van den Borne, Jon R. Pluyter, Igor Jacobs, Dimitrios Mavroeidis, Fons van der Sommen, Joost Nederend
Journal of Clinical Medicine  ·  18 May 2023  ·  doi:10.3390/jcm12103536
Erratum: Automatic textual description of colorectal polyp features: explainable artificial intelligence
Ayla Thijssen, Ramon-Michel Schreuder, Roger Fonollà, Quirine van der Zander, Thom Scheeve, …, Pradeep Bhandari, Peter de With, Ad Masclee, Fons van der Sommen, Erik Schoon
Endoscopy International Open  ·  01 May 2023  ·  doi:10.1055/a-2103-9750
Training procedure for scanning electron microscope 3D surface reconstruction using unsupervised domain adaptation with simulated data
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter de With
Journal of Micro/Nanopatterning, Materials, and Metrology  ·  28 Apr 2023  ·  doi:10.1117/1.JMM.22.3.031208
Depth estimation from SEM images using deep learning and angular data diversity
Tim Houben, Maxim Pisarenco, Thomas Huisman, Hans Onvlee, Fons van der Sommen, Peter H. N. de With
Metrology, Inspection, and Process Control XXXVII  ·  27 Apr 2023  ·  doi:10.1117/12.2658094
Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image‐based results of training on a multi‐center retrospectively collected data set
Kiki N. Fockens, Jelmer B. Jukema, Tim Boers, Martijn R. Jong, Joost A. van der Putten, …, Torsten Beyna, Fons van der Sommen, Peter H. de With, A. Jeroen de Groof, Jacques J. Bergman
United European Gastroenterology Journal  ·  24 Apr 2023  ·  doi:10.1002/ueg2.12363
MyGeneset.info: an interactive and programmatic platform for community-curated and user-created collections of genes
Ricardo Avila, Vincent Rubinetti, Xinghua Zhou, Dongbo Hu, Zhongchao Qian, Marco Alvarado Cano, Everaldo Rodolpho, Ginger Tsueng, Casey Greene, Chunlei Wu
Nucleic Acids Research  ·  18 Apr 2023  ·  doi:10.1093/nar/gkad289
Automatic textual description of colorectal polyp features: explainable artificial intelligence
Ayla Thijssen, Ramon-Michel Schreuder, Roger Fonollà, Quirine van der Zander, Thom Scheeve, …, Pradeep Bhandari, Peter de With, Ad Masclee, Fons van der Sommen, Erik Schoon
Endoscopy International Open  ·  11 Apr 2023  ·  doi:10.1055/a-2071-6652
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
Carolus H. Kusters, Tim G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2647557
How does image quality affect computer-aided diagnosis of colorectal polyps?
Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2654167
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization
Nikoo Dehghani, Thom Scheeve, Tim G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2653848
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation
Terese Hellström, Christiaan Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2654164
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration
Tim G. W. Boers, Carolus H. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques Bergman, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2653890
Optical Biopsy of Dysplasia in Barrett’s Oesophagus Assisted by Artificial Intelligence
Jouke J. H. van der Laan, Joost A. van der Putten, Xiaojuan Zhao, Arend Karrenbeld, Frans T. M. Peters, Jessie Westerhof, Peter H. N. de With, Fons van der Sommen, Wouter B. Nagengast
Cancers  ·  24 Mar 2023  ·  doi:10.3390/cancers15071950
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
R. B. den Boer, T. J. M. Jaspers, C. de Jongh, J. P. W. Pluim, F. van der Sommen, T. Boers, R. van Hillegersberg, M. A. J. M. Van Eijnatten, J. P. Ruurda
Surgical Endoscopy  ·  22 Mar 2023  ·  doi:10.1007/s00464-023-09990-z
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings
Tim J. Schoonbeek, Hans Onvlee, Pierluigi Frisco, Peter H.N. De With, Fons Van der Sommen
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)  ·  01 Mar 2023  ·  doi:10.1109/VRW58643.2023.00283
Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
Anna H. Koch, Lara S. Jeelof, Caroline L. P. Muntinga, T. A. Gootzen, Nienke M. A. van de Kruis, Joost Nederend, Tim Boers, Fons van der Sommen, Jurgen M. J. Piek
Insights into Imaging  ·  15 Feb 2023  ·  doi:10.1186/s13244-022-01345-x
Hetnet connectivity search provides rapid insights into how two biomedical entities are related
Daniel S. Himmelstein, Michael Zietz, Vincent Rubinetti, Kyle Kloster, Benjamin J. Heil, …, David N. Nicholson, Yun Hao, Blair D. Sullivan, Michael W. Nagle, Casey S. Greene
openRxiv  ·  07 Jan 2023  ·  doi:10.1101/2023.01.05.522941
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search
Kurt Stolle, Sebastian Vogel, Fons van der Sommen, Willem Sanberg
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-26419-1_28
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers, Mark Ramaekers, Amaan Valiuddin, Terese Hellström, Nick Tasios, …, Lotte Ewals, Joost Nederend, Peter de With, Misha Luyer, Fons van der Sommen
arXiv  ·  01 Jan 2023  ·  doi:10.48550/arXiv.2310.00639

2022

Hetnet connectivity search provides rapid insights into how biomedical entities are related
Daniel S Himmelstein, Michael Zietz, Vincent Rubinetti, Kyle Kloster, Benjamin J Heil, …, David N Nicholson, Yun Hao, Blair D Sullivan, Michael W Nagle, Casey S Greene
GigaScience  ·  28 Dec 2022  ·  doi:10.1093/gigascience/giad047
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks
Luis A. Zavala-Mondragon, Peter Rongen, Javier Olivan Bescos, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Medical Imaging  ·  01 Aug 2022  ·  doi:10.1109/TMI.2022.3154011
Augmented Reality for Automatically Generating Robust Manufacturing and Maintenance Logs
Tim Schoonbeek, Pierluigi Frisco, Hans Onvlee, Peter H. N. de With, Fons van der Sommen
London Imaging Meeting  ·  06 Jul 2022  ·  doi:10.2352/lim.2022.1.1.15
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter H. N. de With
Machine Vision and Applications  ·  01 Jul 2022  ·  doi:10.1007/s00138-022-01314-w
REAL-TIME CLASSIFICATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE – A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
Quirine E. van der Zander, Ramon-Michel Schreuder, Ayla Thijssen, Koen C. Kusters, Nikoo Dehghani, …, Mirjam V. Ende, P.H.N. De With, Fons Van Der Sommen, Ad Masclee, Erik.J. Schoon
Gastrointestinal Endoscopy  ·  01 Jun 2022  ·  doi:10.1016/j.gie.2022.04.651
Evaluation and comparison of textural feature representation for the detection of early stage cancer in endoscopy
VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications  ·  27 May 2022  ·  [no id info]
The paradox of artificial intelligence diversification in endoscopy: creating blind spots by exposing them
Fons van der Sommen
Endoscopy  ·  12 May 2022  ·  doi:10.1055/a-1820-7113
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray
Christiaan Viviers, Joël de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  04 Apr 2022  ·  doi:10.1117/12.2611143
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task
Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost A. van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn de Jong, Jacques J. Bergman, Peter H. N. de With
Medical Imaging 2022: Computer-Aided Diagnosis  ·  04 Apr 2022  ·  doi:10.1117/12.2611133
Colorectal polyp classification using confidence-calibrated convolutional neural networks
Koen C. Kusters, Thom Scheeve, Nikoo Dehghani, Quirine E. van der Zander, Ramon-Michel Schreuder, Ad A. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2022: Computer-Aided Diagnosis  ·  04 Apr 2022  ·  doi:10.1117/12.2606801
AUTOMATIC TEXTUAL DESCRIPTION OF COLORECTAL POLYP FEATURES: EXPLAINABLE ARTIFICIAL INTELLIGENCE BASED ON THE BASIC CLASSIFICATION
A. Thijssen, R.-M. Schreuder, R. Fonollà, Q.E. van der Zander, T. Scheeve, …, P. Bhandari, P.H. de With, A.A. Masclee, F. van der Sommen, E.J. Schoon
Endoscopy  ·  01 Apr 2022  ·  doi:10.1055/s-0042-1744778
REAL-TIME CHARACTERIZATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE – A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
Q.E. van der Zander, R.-M. Schreuder, A. Thijssen, K.C. Kusters, N. Dehghani, …, M.C. van der Ende-van Loon, P.H. de With, F. van der Sommen, A.A. Masclee, E.J. Schoon
Endoscopy  ·  01 Apr 2022  ·  doi:10.1055/s-0042-1745059
Correction: Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Leonardo Frazzoni, Giulio Antonelli, Julia Arribas, Diogo Libanio, Alanna Ebigbo, …, Prateek Sharma, Helmut Messmann, Cesare Hassan, Lorenzo Fuccio, Mário Dinis-Ribeiro
Endoscopy  ·  01 Apr 2022  ·  doi:10.1055/a-1907-9242
Depth estimation from a single CD-SEM image using domain adaptation with multimodal data
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons v. Sommen, Peter d. With
Fourteenth International Conference on Machine Vision (ICMV 2021)  ·  05 Mar 2022  ·  doi:10.1117/12.2622635
MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny
Faisal S Alquaddoomi, Joseph T Burke, Lo Sosinski, David A Mayer, Evan P Brenner, …, Vincent P Rubinetti, Shaddai Amolitos, Kellen M Reason, John B Johnston, Janani Ravi
openRxiv  ·  22 Feb 2022  ·  doi:10.1101/2022.02.18.461833
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network
Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_11
Cancer Prevention Through Early Detection
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_14
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_10
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett’s Neoplasia Detection
Tim G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_13
A CAD System for Real-Time Characterization of Neoplasia in Barrett’s Esophagus NBI Videos
Carolus H. J. Kusters, Tim G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_9

2021

Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Koen C. Kusters, Luis A. Zavala-Mondragon, Javier Olivan Bescos, Peter Rongen, Peter H.N. de With, Fons van der Sommen
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Nov 2021  ·  doi:10.1109/embc46164.2021.9629600
Automatic image and text-based description for colorectal polyps using BASIC classification
Roger Fonollà, Quirine E.W. van der Zander, Ramon M. Schreuder, Sharmila Subramaniam, Pradeep Bhandari, Ad A.M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H.N. de With
Artificial Intelligence in Medicine  ·  01 Nov 2021  ·  doi:10.1016/j.artmed.2021.102178
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Koen C. Kusters, Luis A. Zavala-Mondragon, Javier Olivan Bescos, Peter Rongen, Peter H.N. de With, Fons van der Sommen
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Nov 2021  ·  doi:10.1109/EMBC46164.2021.9629600
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett’s Esophagus
S. Cornelissen, J.A. van der Putten, T. G. W. Boers, J.B. Jukema, K.N. Fockens, J.J.G.H.M. Bergman, F. van der Sommen, P.H.N. de With
2021 IEEE International Conference on Image Processing (ICIP)  ·  19 Sep 2021  ·  doi:10.1109/ICIP42928.2021.9506121
Algorithm combining virtual chromoendoscopy features for colorectal polyp classification
Ramon-Michel Schreuder, Qurine E.W. van der Zander, Roger Fonollà, Lennard P.L. Gilissen, Arnold Stronkhorst, Birgitt Klerkx, Peter H.N. de With, Ad M. Masclee, Fons van der Sommen, Erik J. Schoon
Endoscopy International Open  ·  16 Sep 2021  ·  doi:10.1055/a-1512-5175
ID: 3525469 IDENTIFICATION OF DYSPLASIA IN THE BARRETT'S ESOPHAGUS USING AN ENDOCYTOSCOPY CLASSIFICATION SYSTEM: PRELIMINARY RESULTS OF A PROSPECTIVE COMPARISON BETWEEN CLINICIANS AND ARTIFICIAL INTELLIGENCE
Jouke J. van der Laan, Joost Van Der Putten, Xiaojuan Zhao, Iris Schmidt, Ruben Y. Gabriëls, Arend Karrenbeld, Frans Peters, Jessie Westerhof, Fons Van Der Sommen, Wouter B. Nagengast
Gastrointestinal Endoscopy  ·  01 Jun 2021  ·  doi:10.1016/j.gie.2021.03.463
Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Leonardo Frazzoni, Giulio Antonelli, Julia Arribas, Diogo Libanio, Alanna Ebigbo, …, Prateek Sharma, Helmut Messmann, Cesare Hassan, Lorenzo Fuccio, Mário Dinis-Ribeiro
Endoscopy  ·  05 May 2021  ·  doi:10.1055/a-1500-3730
Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett’s neoplasia
Maarten R. Struyvenberg, Albert J. de Groof, Roger Fonollà, Fons van der Sommen, Peter H.N. de With, …, Sybren L. Meijer, Michael Vieth, Roos E. Pouw, Wouter L. Curvers, Jacques J. Bergman
Gastrointestinal Endoscopy  ·  01 Apr 2021  ·  doi:10.1016/j.gie.2020.07.052
Triplet network for classification of benign and pre-malignant polyps
Roger Fonollà, Maciej Smyl, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With
Medical Imaging 2021: Computer-Aided Diagnosis  ·  15 Feb 2021  ·  doi:10.1117/12.2577546
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks
Sanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost A. van der Putten, Maarten R. Struyvenberg, Jacques J. Bergman, Peter H. N. de With
Medical Imaging 2021: Computer-Aided Diagnosis  ·  15 Feb 2021  ·  doi:10.1117/12.2579751
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach
Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost A. van der Putten, Maarten R. Struyvenberg, Jacques J. Bergman, Peter H. N. de With
Medical Imaging 2021: Image Processing  ·  15 Feb 2021  ·  doi:10.1117/12.2579573
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging
Luis Albert Zavala-Mondragon, Klaus Juergen Engel, Bernd Menser, Danny Ruijters, Peter H.N. de With, Fons van der Sommen
Medical Imaging 2021: Image Processing  ·  15 Feb 2021  ·  doi:10.1117/12.2579500
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach
Francesca Manni, Chuchen Cai, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, …, Adrian Elmi-Terander, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, Peter H. N. de With
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  15 Feb 2021  ·  doi:10.1117/12.2580158
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy
Francesca Manni, Cyril Ferrer, Celine E. C. Vincent, Marco Lai, Lambertus W. Bartels, Clemens Bos, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  15 Feb 2021  ·  doi:10.1117/12.2580838
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-87735-4_8
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT
Luis Albert Zavala-Mondragon, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Image Processing  ·  01 Jan 2021  ·  doi:10.1109/TIP.2021.3125489
Advanced Imaging and Sampling in Barrett’s Esophagus
Maarten R. Struyvenberg, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. de With, Vani J.A. Konda, Wouter L. Curvers
Gastrointestinal Endoscopy Clinics of North America  ·  01 Jan 2021  ·  doi:10.1016/j.giec.2020.08.006
A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus
Maarten R. Struyvenberg, Albert J. de Groof, Joost van der Putten, Fons van der Sommen, Francisco Baldaque-Silva, …, Michael Vieth, Erik J. Schoon, Wouter L. Curvers, Peter H. de With, Jacques J. Bergman
Gastrointestinal Endoscopy  ·  01 Jan 2021  ·  doi:10.1016/j.gie.2020.05.050

2020

Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis
Quirine E. W. van der Zander, Ramon M. Schreuder, Roger Fonollà, Thom Scheeve, Fons van der Sommen, …, Sharmila Subramaniam, Pradeep Bhandari, Peter H. N. de With, Ad A. M. Masclee, Erik J. Schoon
Endoscopy  ·  23 Dec 2020  ·  doi:10.1055/a-1343-1597
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach
Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi-Terander, Samuel Ortega, Gustavo Marrero Callicó, Peter H. N. de With
Sensors  ·  05 Dec 2020  ·  doi:10.3390/s20236955
Open collaborative writing with Manubot
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128
Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
Julia Arribas, Giulio Antonelli, Leonardo Frazzoni, Lorenzo Fuccio, Alanna Ebigbo, …, J J G H M Bergman, Prateek Sharma, Helmut Messmann, Cesare Hassan, Mario J Dinis-Ribeiro
Gut  ·  30 Oct 2020  ·  doi:10.1136/gutjnl-2020-321922
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Luis A. Zavala-Mondragon, Danny Ruijters, Peter van de Haar, Peter H.N. de With, Fons van der Sommen
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)  ·  01 Sep 2020  ·  doi:10.1109/mlsp49062.2020.9231535
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Luis A. Zavala-Mondragon, Danny Ruijters, Peter van de Haar, Peter H.N. de With, Fons van der Sommen
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)  ·  01 Sep 2020  ·  doi:10.1109/MLSP49062.2020.9231535
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks
Tim Boers, Joost van der Putten, Maarten Struyvenberg, Kiki Fockens, Jelmer Jukema, Erik Schoon, Fons van der Sommen, Jacques Bergman, Peter de With
Sensors  ·  24 Jul 2020  ·  doi:10.3390/s20154133
A CNN CADx System for Multimodal Classification of Colorectal Polyps Combining WL, BLI, and LCI Modalities
Roger Fonollà, Quirine E. W. van der Zander, Ramon M. Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Applied Sciences  ·  22 Jul 2020  ·  doi:10.3390/app10155040
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study
Joost van der Putten, Jeroen de Groof, Maarten Struyvenberg, Tim Boers, Kiki Fockens, Wouter Curvers, Erik Schoon, Jacques Bergman, Fons van der Sommen, Peter H.N. de With
Artificial Intelligence in Medicine  ·  01 Jul 2020  ·  doi:10.1016/j.artmed.2020.101914
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery
Francesca Manni, Roger Fonolla, Fons van der Sommen, Svetlana Zinger, Caifeng Shan, Esther Kho, Susan Brouwer de Koning, Theo Ruers, Peter H.N. de With
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Jul 2020  ·  doi:10.1109/EMBC44109.2020.9176543
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery
Francesca Manni, Adrian Elmi-Terander, Gustav Burström, Oscar Persson, Erik Edström, Ronald Holthuizen, Caifeng Shan, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With
Sensors  ·  29 Jun 2020  ·  doi:10.3390/s20133641
Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery
Francesca Manni, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Ronald Holthuizen, …, Gustav Buström, Richelle J. M. Hoveling, Erik Edström, Adrian Elmi-Terander, Peter H. N. de With
Applied Sciences  ·  12 Jun 2020  ·  doi:10.3390/app10124078
Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)
Albert J. de Groof, Maarten R. Struyvenberg, Kiki N. Fockens, Joost van der Putten, Fons van der Sommen, …, Peter H. de With, Roos E. Pouw, Wouter L. Curvers, Erik J. Schoon, Jacques J.G. H.M. Bergman
Gastrointestinal Endoscopy  ·  01 Jun 2020  ·  doi:10.1016/j.gie.2019.12.048
Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos
Joost van der Putten, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Francisco Baldaque-Silva, Jacques Bergman, Fons van der Sommen, Peter H.N. de With
Applied Sciences  ·  14 May 2020  ·  doi:10.3390/app10103407
Machine learning in GI endoscopy: practical guidance in how to interpret a novel field
Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Joost van der Putten, Tim Boers, …, Wouter Curvers, Peter de With, Yuichi Mori, Michael Byrne, Jacques J G H M Bergman
Gut  ·  11 May 2020  ·  doi:10.1136/gutjnl-2019-320466
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
Gregory P. Way, Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene
Genome Biology  ·  11 May 2020  ·  doi:10.1186/s13059-020-02021-3
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections
Luis A. Zavala-Mondragon, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H.N. de With
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)  ·  01 Apr 2020  ·  doi:10.1109/isbi45749.2020.9098442
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections
Luis A. Zavala-Mondragon, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H.N. de With
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)  ·  01 Apr 2020  ·  doi:10.1109/ISBI45749.2020.9098442
IMPROVING OPTICAL DIAGNOSIS OF COLORECTAL POLYPS USING COMPUTER-AIDED DIAGNOSIS (CADX)
QEW van der Zander, RM Schreuder, R Fonolla, T Scheeve, F van der Sommen, …, S Subramaniam, P Bhandari, PHN de With, AAM Masclee, EJ Schoon
Endoscopy  ·  01 Apr 2020  ·  doi:10.1055/s-0040-1704736
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning
Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Peter de With
Medical Imaging 2020: Computer-Aided Diagnosis  ·  16 Mar 2020  ·  doi:10.1117/12.2549391
First steps into endoscopic video analysis for Barrett’s cancer detection: challenges and opportunities
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Medical Imaging 2020: Computer-Aided Diagnosis  ·  16 Mar 2020  ·  doi:10.1117/12.2544229
Influence of decoder size for binary segmentation tasks in medical imaging
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2020: Image Processing  ·  10 Mar 2020  ·  doi:10.1117/12.2542199
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks
Tim Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Wouter Curvers, Erik Schoon, Fons van der Sommen, Jacques Bergman, Peter H. N. de With
Medical Imaging 2020: Image Processing  ·  10 Mar 2020  ·  doi:10.1117/12.2545734
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy
Joost van der Putten, Maarten Struyvenberg, Jeroen de Groof, Thom Scheeve, Wouter Curvers, Erik Schoon, Jacques J.G.H.M. Bergman, Peter H.N. de With, Fons van der Sommen
Computerized Medical Imaging and Graphics  ·  01 Mar 2020  ·  doi:10.1016/j.compmedimag.2020.101701
Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking
Albert J. de Groof, Maarten R. Struyvenberg, Joost van der Putten, Fons van der Sommen, Kiki N. Fockens, …, Raf Bisschops, John Dent, Erik J. Schoon, Peter H. de With, Jacques J. Bergman
Gastroenterology  ·  01 Mar 2020  ·  doi:10.1053/j.gastro.2019.11.030
Constructing knowledge graphs and their biomedical applications
David N. Nicholson, Casey S. Greene
Computational and Structural Biotechnology Journal  ·  01 Jan 2020  ·  doi:10.1016/j.csbj.2020.05.017
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems
Joost Van Der Putten, Fons Van Der Sommen, Peter H. N. De with
IEEE Access  ·  01 Jan 2020  ·  doi:10.1109/ACCESS.2020.3020360

2019

Gastroenterology needs its own ImageNet
Fons van der Sommen
Journal of Medical Artificial Intelligence  ·  01 Dec 2019  ·  doi:10.21037/jmai.2019.11.03
Time for second-generation artificial intelligence in medical imaging
Fons van der Sommen
Endoscopy  ·  27 Nov 2019  ·  doi:10.1055/a-0999-5476
Modeling clinical assessor intervariability using deep hypersphere encoder–decoder networks
Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Neural Computing and Applications  ·  21 Nov 2019  ·  doi:10.1007/s00521-019-04607-w
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H.N. de With
2019 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2019  ·  doi:10.1109/ICIP.2019.8802947
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models
Michelle C. A. van Grinsven, Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Erik J. Schoon, Peter H. N. de With
2019 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2019  ·  doi:10.1109/ICIP.2019.8803822
Improved Barrett's neoplasia detection using computer-assisted multiframe analysis of volumetric laser endomicroscopy
M R Struyvenberg, F van der Sommen, A F Swager, A J de Groof, A Rikos, E J Schoon, J J Bergman, P H N de With, W L Curvers
Diseases of the Esophagus  ·  31 Jul 2019  ·  doi:10.1093/dote/doz065
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures
Francesca Manni, Erik Edstrom, Peter H.N. de With, Xin Liu, Ronald Holthuizen, …, Fons van der Sommen, Caifeng Shan, Marco Mamprin, Gustav Burstrom, Adrian Elmi-Terander
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  ·  01 Jul 2019  ·  doi:10.1109/EMBC.2019.8856304
Ensemble of Deep Convolutional Neural Networks for Classification of Early Barrett’s Neoplasia Using Volumetric Laser Endomicroscopy
Roger Fonollà, Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Fons van der Sommen, Erik J. Schoon, Jacques J.G.H.M. Bergman, Peter H.N. de With
Applied Sciences  ·  28 May 2019  ·  doi:10.3390/app9112183
The Argos project: The development of a computer‐aided detection system to improve detection of Barrett's neoplasia on white light endoscopy
Jeroen de Groof, Fons van der Sommen, Joost van der Putten, Maarten R Struyvenberg, Sveta Zinger, …, Horst Neuhaus, Raf Bisschops, Erik J Schoon, Peter H de With, Jacques J Bergman
United European Gastroenterology Journal  ·  01 May 2019  ·  doi:10.1177/2050640619837443
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation
Roger Fonolla, Fons van der Sommen, Ramon M. Schreuder, Erik J. Schoon, Peter H.N. de With
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  ·  01 Apr 2019  ·  doi:10.1109/ISBI.2019.8759320
Deep Learning Biopsy Marking of Early Neoplasia in Barrett’s Esophagus by Combining WLE and BLI Modalities
Joost van der Putten, Jacques Bergman, Peter H. N. de With, Rogier Wildeboer, Jeroen de Groof, …, Maarten Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter Curvers, Erik Schoon
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  ·  01 Apr 2019  ·  doi:10.1109/ISBI.2019.8759431
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks
F. Ghazvinian Zanjani, A. Panteli, S. Zinger, F. van der Sommen, T. Tan, …, H. A. Marquering, I. Jansen, C. D. Savci-Heijink, D. M. de Bruin, P. H. N. de With
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  ·  01 Apr 2019  ·  doi:10.1109/ISBI.2019.8759571
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks
Jannis van Kersbergen, Farhad Ghazvinian Zanjani, Svitlana Zinger, Fons van der Sommen, Benjamin Balluff, …, Henk A. Marquering, Ilaria Jansen, C. Dilara Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With
Medical Imaging 2019: Digital Pathology  ·  18 Mar 2019  ·  doi:10.1117/12.2512360
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function
Joost van der Putten, Fons van der Sommen, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Jacques J.G.H.M. Bergman, Peter H. N. de With
Medical Imaging 2019: Image Processing  ·  15 Mar 2019  ·  doi:10.1117/12.2512192
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging
Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Joep E. G. IJspeert, Evelien Dekker, Erik J. Schoon, Peter H. N. De With
Medical Imaging 2019: Computer-Aided Diagnosis  ·  13 Mar 2019  ·  doi:10.1117/12.2508223
A novel clinical gland feature for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy
Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Erik J. Schoon, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2019: Computer-Aided Diagnosis  ·  13 Mar 2019  ·  doi:10.1117/12.2508244
Sequential compression of gene expression across dimensionalities and methods reveals no single best method or dimensionality
Gregory P. Way, Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene
openRxiv  ·  11 Mar 2019  ·  doi:10.1101/573782
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging
Francesca Manni, Fons van der Sommen, Sveta Zinger, Esther Kho, Susan G. Brouwer de Koning, Theo J. M. Ruers, Caifeng Shan, Jean Schleipen, Peter H. N. de With
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  08 Mar 2019  ·  doi:10.1117/12.2512238
CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications
Luis A. Zavala-Mondragon, Bishal Lamichhane, Lu Zhang, Gerard de Haan
Journal of Ambient Intelligence and Humanized Computing  ·  28 Feb 2019  ·  doi:10.1007/s12652-019-01259-5
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, …, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Nature Communications  ·  30 Jan 2019  ·  doi:10.1038/s41467-019-08563-w
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-32692-0_20

2018

Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, …, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Nature Communications  ·  06 Dec 2018  ·  doi:10.1038/s41467-018-07619-7
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning
Sjors Van Riel, Fons Van Der Sommen, Sveta Zinger, Erik J. Schoon, Peter H.N. de With
2018 25th IEEE International Conference on Image Processing (ICIP)  ·  01 Oct 2018  ·  doi:10.1109/ICIP.2018.8451771
Bladder Cancer Segmentation on Multispectral Images
Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With
Proceedings of the 12th International Conference on Distributed Smart Cameras  ·  03 Sep 2018  ·  doi:10.1145/3243394.3243702
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy
Fons van der Sommen, Sander R. Klomp, Anne-Fré Swager, Svitlana Zinger, Wouter L. Curvers, Jacques J.G.H.M. Bergman, Erik J. Schoon, Peter H.N. de With
Computerized Medical Imaging and Graphics  ·  01 Jul 2018  ·  doi:10.1016/j.compmedimag.2018.02.007
Tu2011 - The Argos Project: Evaluation of Results of a Clinicallyinspired Algorithm vs. a Deep Learning Algorithm for the Detection and Delineation of Barrett's Neoplasia
Jeroen de Groof, Joost van der Putten, Fons van der Sommen, S. Zinger, Wouter Curvers, …, Alexander Meining, Horst Neuhaus, Erik. J. Schoon, P.H.N. de With, Jacques Bergman
Gastroenterology  ·  01 May 2018  ·  doi:10.1016/s0016-5085(18)34470-6
Tu1962 - Improved Barrett's Neoplasia Detection Using Computer Assisted Multi-Frame Analysis of Volumetric Laser Endomicroscopy Images
Maarten R. Struyvenberg, A. Rikos, Fons van der Sommen, P.H.N. de With, S. Zinger, Wouter Curvers, Jacques Bergman
Gastroenterology  ·  01 May 2018  ·  doi:10.1016/s0016-5085(18)33565-0
Novel Developments in Endoscopic Mucosal Imaging
Fons van der Sommen, Wouter L. Curvers, Wouter B. Nagengast
Gastroenterology  ·  01 May 2018  ·  doi:10.1053/j.gastro.2018.01.070
Sci-Hub provides access to nearly all scholarly literature
Daniel S Himmelstein, Ariel Rodriguez Romero, Jacob G Levernier, Thomas Anthony Munro, Stephen Reid McLaughlin, Bastian Greshake Tzovaras, Casey S Greene
eLife  ·  01 Mar 2018  ·  doi:10.7554/eLife.32822
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma
Mathias Prokop, Joost van der Putten, Fons van der Sommen, Svitlana Zinger, John Hermans, Peter H. N. de With
Medical Imaging 2018: Computer-Aided Diagnosis  ·  27 Feb 2018  ·  doi:10.1117/12.2291746
How to Exploit Weaknesses in Biomedical Challenge Design and Organization
Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, …, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein
Lecture Notes in Computer Science  ·  01 Jan 2018  ·  doi:10.1007/978-3-030-00937-3_45
Assessment of trainees’ performance in colonoscopy
Felix W. Leung
Gastrointestinal Endoscopy  ·  01 Jan 2018  ·  doi:10.1016/j.gie.2017.06.018

2017

Computer-aided detection of early Barrett’s neoplasia using volumetric laser endomicroscopy
Anne-Fré Swager, Fons van der Sommen, Sander R. Klomp, Sveta Zinger, Sybren L. Meijer, Erik J. Schoon, Jacques J.G.H.M. Bergman, Peter H. de With, Wouter L. Curvers
Gastrointestinal Endoscopy  ·  01 Nov 2017  ·  doi:10.1016/j.gie.2017.03.011
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting
A. Rikos, F. van der Sommen, S. Zinger, P. H. N. de With, W.L. Curvers, E.J. Schoon, A. Swager, J.J. Bergman
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)  ·  01 Jun 2017  ·  doi:10.1109/CBMS.2017.31
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging
Sander Klomp, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With
SPIE Proceedings  ·  03 Mar 2017  ·  doi:10.1117/12.2253860

2016

Computer-aided detection of early neoplastic lesions in Barrett’s esophagus
Fons van der Sommen, Svitlana Zinger, Wouter Curvers, Raf Bisschops, Oliver Pech, Bas Weusten, Jacques Bergman, Peter de With, Erik Schoon
Endoscopy  ·  21 Apr 2016  ·  doi:10.1055/s-0042-105284
Automatic assessment of informative frames in endoscopic video
N. C. van Dongen, F. van der Sommen, S. Zinger, E. J. Sekoon, P. H. N. de With
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)  ·  01 Apr 2016  ·  doi:10.1109/isbi.2016.7493225
237 Feasibility of a Computer Algorithm for Detection of Early Barrett's Neoplasia Using Volumetric Laser Endomicroscopy
Anne-Fré Swager, Fons van der Sommen, Sveta Zinger, Sybren L. Meijer, Erik J. Schoon, Jacques Bergman, Peter H. De With, Wouter L. Curvers
Gastroenterology  ·  01 Apr 2016  ·  doi:10.1016/s0016-5085(16)30311-0
Sweet-spot training for early esophageal cancer detection
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
SPIE Proceedings  ·  24 Mar 2016  ·  doi:10.1117/12.2208114
Early esophageal cancer detection using RF classifiers
Markus H. A. Janse, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
SPIE Proceedings  ·  24 Mar 2016  ·  doi:10.1117/12.2208583
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry
Fons van der Sommen, Sveta Zinger, Peter H. N. de With
SPIE Proceedings  ·  18 Mar 2016  ·  doi:10.1117/12.2214450

2015

Real-time semantic context labeling for image understanding
Martin A. R. Pieck, Fons van der Sommen, Svitlana Zinger, Peter H. N. de With
2015 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2015  ·  doi:10.1109/icip.2015.7351390

2014

Supportive automatic annotation of early esophageal cancer using local gabor and color features
F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With
Neurocomputing  ·  01 Nov 2014  ·  doi:10.1016/j.neucom.2014.02.066
805 Computer-Aided Detection of Early Neoplastic Lesions in Barrett's Esophagus: Towards a Supportive Detection System in Endoscopy
Fons van der Sommen, Svitlana Zinger, Peter H. de With, Erik J. Schoon
Gastroenterology  ·  01 May 2014  ·  doi:10.1016/s0016-5085(14)60499-6

2013

Mo1683 Computer-Aided Delineation of Early Neoplasia in Barrett's Esophagus Using High Definition Endoscopic Images
Erik J. Schoon, Fons Van Der Sommen, Svitlana Zinger, Peter H. De With
Gastrointestinal Endoscopy  ·  01 May 2013  ·  doi:10.1016/j.gie.2013.03.431
Computer-aided detection of early cancer in the esophagus using HD endoscopy images
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
SPIE Proceedings  ·  28 Feb 2013  ·  doi:10.1117/12.2001068
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy
Proceedings of the International Conference on Computer Vision Theory and Applications  ·  01 Jan 2013  ·  doi:10.5220/0004204502380243

List projects

NNCV Course Materials
NNCV Course Materials Neural Networks for Computer Vision

Complete course materials and assignments for the 5LSM0 Neural Networks for Computer Vision course at TU Eindhoven.

resource education

List team members

member portrait Amaan Valiuddin PhD Student TU Eindhoven
member portrait Christiaan Viviers Postdoctoral Researcher TU Eindhoven
member portrait Cris Claessens PhD Student TU Eindhoven
member portrait Fons van der Sommen Professor TU Eindhoven
member portrait Francisco Caetano PhD Student TU Eindhoven
member portrait Haiko Middeljans PhD Student TU Eindhoven
member portrait Nikoo Dehghani PhD Student TU Eindhoven
member portrait Koen Kusters PhD Student TU Eindhoven
member portrait Lotte Fleurkens-Ewals PhD Student TU Eindhoven / Catharina Hospital
member portrait Luis Zavala Mondragon Postdoctoral Researcher TU Eindhoven
member portrait Peter de With Professor TU Eindhoven
member portrait Pieter Gort PhD Student TU Eindhoven
member portrait Roman Pavelkin PhD Student TU Eindhoven
member portrait Terese Thornblad PhD Student TU Eindhoven
member portrait Tim Boers PhD Student TU Eindhoven
member portrait Tim Jaspers PhD Student TU Eindhoven
member portrait Tim Schoonbeek PhD Student TU Eindhoven

List blog posts

2026

Presenting Symmetrical Flow Matching at AAAI 2026
Presenting Symmetrical Flow Matching at AAAI 2026
member portrait Francisco Caetano PhD Student TU Eindhoven
January 25, 2026 March 20, 2026
conference aaai generative-modeling flow-matching

Francisco Caetano presented our work on Symmetrical Flow Matching (SymmFlow) at AAAI 2026.

2023

Innovative technologies make the industry safer and smarter
Innovative technologies make the industry safer and smarter
member portrait Tim Schoonbeek PhD Student TU Eindhoven
February 23, 2023 March 20, 2026
phd-defense industry ar ai

PhD researcher Tim Schoonbeek successfully defended his thesis investigating how AR and AI improve the quality of industrial processes. His research demonstrates how augmented reality combined with artificial intelligence can enhance safety and efficiency in industrial settings.

2021

Example post 2
jane-smith September 30, 2021 March 20, 2026

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

2019

Example post 1
sarah-johnson January 07, 2019 March 20, 2026
biology medicine big-data

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Citation

Constructing knowledge graphs and their biomedical applications
David N. Nicholson, Casey S. Greene
Computational and Structural Biotechnology Journal  ·  01 Jan 2020  ·  doi:10.1016/j.csbj.2020.05.017
Open collaborative writing with Manubot
Open collaborative writing with Manubot
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Manubot
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member portrait
member portrait
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Post Excerpt

Example post 1
sarah-johnson January 07, 2019 March 20, 2026
biology medicine big-data

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Manual title
manual author February 20, 2020

Alert

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ovarian-cancer dataset gene-expression

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Code

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a. Tristique magna sit amet purus gravida quis blandit turpis cursus. Ultrices eros in cursus turpis massa tincidunt dui ut ornare. A cras semper auctor neque vitae tempus quam pellentesque nec. At tellus at urna condimentum mattis pellentesque. Ipsum consequat nisl vel pretium. Ultrices mi tempus imperdiet nulla malesuada pellentesque elit eget gravida. Integer vitae justo eget magna fermentum iaculis eu non diam. Mus mauris vitae ultricies leo integer malesuada nunc vel. Leo integer malesuada nunc vel risus. Ornare arcu odio ut sem nulla pharetra. Purus semper eget duis at tellus at urna condimentum. Enim neque volutpat ac tincidunt vitae semper quis lectus.

Grid

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figure image
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Grid of citations

2026

Scaling up self-supervised learning for improved surgical foundation models
Scaling up self-supervised learning for improved surgical foundation models
Tim J.M. Jaspers, Ronald L.P.D. de Jong, Yiping Li, Carolus H.J. Kusters, Franciscus H.A. Bakker, …, Josien P.W. Pluim, Peter H.N. de With, Marcel Breeuwer, Yasmina Al Khalil, Fons van der Sommen
Medical Image Analysis  ·  01 Feb 2026  ·  doi:10.1016/j.media.2025.103873
GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy
GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy
Martijn R. Jong, Tim G.W. Boers, Kiki N. Fockens, Jelmer B. Jukema, Carolus H.J. Kusters, …, Oliver Pech, Krish Ragunath, Pieter Scholten, Stefan Seewald, Bas L. Weusten
Gastroenterology  ·  01 Jan 2026  ·  doi:10.1053/j.gastro.2025.07.030

2025

Learning to recognize correctly completed procedure steps in egocentric assembly videos through spatio-temporal modeling
Learning to recognize correctly completed procedure steps in egocentric assembly videos through spatio-temporal modeling
Tim J. Schoonbeek, Shao-Hsuan Hung, Dan Lehman, Hans Onvlee, Jacek Kustra, Peter H.N. De With, Fons Van der Sommen
Computer Vision and Image Understanding  ·  01 Dec 2025  ·  doi:10.1016/j.cviu.2025.104528
Comparison of graphic user interfaces for computer-aided detection in Barrett s neoplasia
Comparison of graphic user interfaces for computer-aided detection in Barrett’s neoplasia
Jelmer B. Jukema, Martijn R. Jong, Carolus H.J. Kusters, Rixta van Eyck van Heslinga, Tim G.W. Boers, …, Lucas C. Duits, Fons van der Sommen, Peter H. de With, Albert J. de Groof, Jacques J. Bergman
Gastrointestinal Endoscopy  ·  01 Nov 2025  ·  doi:10.1016/j.gie.2025.02.040
Artificial Intelligence and radiomics models for the diagnosis and prognosis of peritoneal metastases on imaging: a systematic review and meta-analysis
Artificial Intelligence and radiomics models for the diagnosis and prognosis of peritoneal metastases on imaging: a systematic review and meta-analysis
Lotte J.S. Fleurkens-Ewals, Marion Tops-Welten, Cris H.B. Claessens, Jurgen M.J. Piek, Irene E.G. van Hellemond, Fons van der Sommen, Max J. Lahaye, Ignace H.J.T. de Hingh, Misha D.P. Luyer, Joost Nederend
Computers in Biology and Medicine  ·  01 Nov 2025  ·  doi:10.1016/j.compbiomed.2025.111188
Robust Early Detection of Barrett s Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
Robust Early Detection of Barrett’s Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
Tim J. M. Jaspers, Francisco Caetano, Cris H. B. Claessens, Carolus H. J. Kusters, Haiko Middeljans, …, Floor Slooter, Albert Jeroen de Groof, Jacques J. Bergman, Peter H. N. De With, Fons van der Sommen
Lecture Notes in Computer Science  ·  12 Oct 2025  ·  doi:10.1007/978-3-032-08009-7_17
Spline-Based Shape Compression for Interventional Device Tracking
Spline-Based Shape Compression for Interventional Device Tracking
Roman Pavelkin, Luis A. Zavala-Mondragon, Ahmet Ekin, Fons van der Sommen
Lecture Notes in Computer Science  ·  05 Oct 2025  ·  doi:10.1007/978-3-032-06774-6_14
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Lemar Abdi, Francisco Caetano, Amaan Valiuddin, Christiaan Viviers, Hamdi Joudeh, Fons van der Sommen
Lecture Notes in Computer Science  ·  29 Sep 2025  ·  doi:10.1007/978-3-032-06593-3_9
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching
Francisco Caetano, Lemar Abdi, Christiaan Viviers, Amaan Valiuddin, Fons van der Sommen
Lecture Notes in Computer Science  ·  25 Sep 2025  ·  doi:10.1007/978-3-032-05472-2_4
SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition
SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition
Yiping Li, Ronald de Jong, Sahar Nasirihaghighi, Tim Jaspers, Romy van Jaarsveld, …, Richard van Hillegersberg, Fons van der Sommen, Jelle Ruurda, Marcel Breeuwer, Yasmina Al Khalil
Lecture Notes in Computer Science  ·  20 Sep 2025  ·  doi:10.1007/978-3-032-05127-1_46
Designing a Computer-Aided Detection system for Barrett s neoplasia: Insights in architectural choices, training strategies and inference approaches
Designing a Computer-Aided Detection system for Barrett ’s neoplasia: Insights in architectural choices, training strategies and inference approaches
Carolus H.J. Kusters, Tim G.W. Boers, Tim J.M. Jaspers, Martijn R. Jong, Rixta A.H. van Eijck van Heslinga, …, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. De With
Computer Methods and Programs in Biomedicine  ·  01 Sep 2025  ·  doi:10.1016/j.cmpb.2025.108891
Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits
Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits
Terese A.E. Thornblad, Lotte J.S. Ewals, Joost Nederend, Misha D.P. Luyer, Peter H.N. De With, Fons van der Sommen
Computers in Biology and Medicine  ·  01 Sep 2025  ·  doi:10.1016/j.compbiomed.2025.110780
Trust in artificial intelligence
Trust in artificial intelligence
Digestive Disease Days, Netherlands, 16/03/22  ·  27 Aug 2025  ·  [no id info]
Confidence Calibration using a Bayesian Variational Inference-based approach for Colorectal Polyp Classification
Confidence Calibration using a Bayesian Variational Inference-based approach for Colorectal Polyp Classification
26th UK Conference on Medical Image Understanding and Analysis, Cambridge, United Kingdom, 27/07/22  ·  27 Aug 2025  ·  [no id info]
Automatic annotation of early cancer in Barrett s Esophagus : a Gabor-based approach
Automatic annotation of early cancer in Barrett’s Esophagus : a Gabor-based approach
7th Biomedica: the European Life Sciences Summit, 18-19 June 2013, Aachen,Germany, Aachen, Germany, 18/06/13  ·  10 Jul 2025  ·  [no id info]
Computer-aided detection of early cancerous lesions in the esophagus using local Gabor and color features of HD endoscopic images
Computer-aided detection of early cancerous lesions in the esophagus using local Gabor and color features of HD endoscopic images
Proceedings of the Netherlands Conference on Computer Vision (NCCV), April 24-25, 2014, Ermelo, The Netherlands  ·  10 Jul 2025  ·  [no id info]
A learning system for cancer detection
A learning system for cancer detection
Connecthor  ·  10 Jul 2025  ·  [no id info]
Biopsy-needle depth estimation in limited-angle tomography using multiple view geometry
Biopsy-needle depth estimation in limited-angle tomography using multiple view geometry
IEEE Western European Student and Young Professional congress (WESYP), May 20-24, 2015, Eindhoven, The Netherlands., Eindhoven, Netherlands, 20/05/15  ·  10 Jul 2025  ·  [no id info]
A novel approach for real-time semantic context labeling
A novel approach for real-time semantic context labeling
The Netherlands Conference on Computer Vision (NCCV 2015), Lunteren, Netherlands, 14/09/15  ·  10 Jul 2025  ·  [no id info]
Evaluation and comparison of computer vision methods for early Barrett s cancer detection using volumetric laser endomicroscopy
Evaluation and comparison of computer vision methods for early Barrett's cancer detection using volumetric laser endomicroscopy
NCCV'16, the Netherlands Conference on Computer Vision, December 12-13, 2016, Lunteren, The Netherlands  ·  10 Jul 2025  ·  [no id info]
Computer vision for cancer detection
Computer vision for cancer detection
Connecthor  ·  10 Jul 2025  ·  [no id info]
Polyp malignancy classification with CNN features based on Blue Laser and Linked Color Imaging
Polyp malignancy classification with CNN features based on Blue Laser and Linked Color Imaging
The Netherlands Conference on Computer Vision (NCCV 2018), 26/09/18  ·  10 Jul 2025  ·  [no id info]
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)  ·  10 Jul 2025  ·  [no id info]
A multi-wafer case study for 3D geometry prediction of FinFET-like structures with top-down SEM imaging
A multi-wafer case study for 3D geometry prediction of FinFET-like structures with top-down SEM imaging
International Microscopy Congress (IMC20)  ·  10 Jul 2025  ·  [no id info]
Evaluation of an improved computer-aided detection system for Barrett s neoplasia in real-world imaging conditions
Evaluation of an improved computer-aided detection system for Barrett’s neoplasia in real-world imaging conditions
Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Carolus H. J. Kusters, Tim J. M. Jaspers, Tim G. W. Boers, …, Alaa Alkhalaf, Fons van der Sommen, Peter H. N. de With, Albert J. de Groof, Jacques J. Bergman
Endoscopy  ·  25 Jun 2025  ·  doi:10.1055/a-2642-7584
Scalable data harmonization for single-cell image-based profiling with CytoTable
Scalable data harmonization for single-cell image-based profiling with CytoTable
Dave Bunten, Jenna Tomkinson, Erik Serrano, Michael J. Lippincott, Kenneth I. Brewer, Vince Rubinetti, Faisal Alquaddoomi, Gregory P. Way
openRxiv  ·  25 Jun 2025  ·  doi:10.1101/2025.06.19.660613
The Association Between Heatmap Position and the Diagnostic Accuracy of Artificial Intelligence for Colorectal Polyp Diagnosis
The Association Between Heatmap Position and the Diagnostic Accuracy of Artificial Intelligence for Colorectal Polyp Diagnosis
Ayla Thijssen, Nikoo Dehghani, Ruud W. M. Schrauwen, Eric T. P. Keulen, Eveline J. A. Rondagh, …, Quirine E. W. van der Zander, Peter H. N. de With, Bjorn Winkens, Fons van der Sommen, Erik J. Schoon
Cancers  ·  10 May 2025  ·  doi:10.3390/cancers17101620
Self-supervised learning for automated image quality assessment in endoscopy
Self-supervised learning for automated image quality assessment in endoscopy
Tim J. M. Jaspers, Martijn R. Jong, Carolus H. J. Kusters, Tim G. W. Boers, Rixta A. H. Van Eijck van Heslinga, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3045901
Evaluating the interpretability of prototype networks for medical image analysis
Evaluating the interpretability of prototype networks for medical image analysis
Pieter Gort, Cris Claessens, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3046678
Diffusion-based lung nodule synthesis for advanced evaluation of deep learning models
Diffusion-based lung nodule synthesis for advanced evaluation of deep learning models
Cris Claessens, Francisco Caetano, Kasper van der Wulp, Lotte Ewals, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3046681
AdverX-Ray: ensuring x-ray integrity through frequency-sensitive adversarial VAEs
AdverX-Ray: ensuring x-ray integrity through frequency-sensitive adversarial VAEs
Francisco Caetano, Christiaan Viviers, Lena Filatova, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Image Processing  ·  11 Apr 2025  ·  doi:10.1117/12.3045893
Project Page
Code
Data-tailored shape compression for interventional device tracking
Data-tailored shape compression for interventional device tracking
Roman A. Pavelkin, Luis Albert Zavala-Mondragon, Ahmet Ekin, Peter H. de With, Fons van der Sommen
Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  07 Apr 2025  ·  doi:10.1117/12.3046120
Benchmarking pretrained attention-based models for real-time recognition in robot-assisted esophagectomy
Benchmarking pretrained attention-based models for real-time recognition in robot-assisted esophagectomy
Ronald de Jong, Yasmina al Khalil, Tim Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Yiping Li, Richard van Hillegersberg, Jelle P. Ruurda, Marcel Breeuwer, Fons van der Sommen
Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  07 Apr 2025  ·  doi:10.1117/12.3045187
Multiclass characterization of colorectal polyps under class imbalance using a calibrated cascade model
Multiclass characterization of colorectal polyps under class imbalance using a calibrated cascade model
Nikoo Dehghani, Ayla Thijssen, Quirine E. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. de With, Fons van der Sommen
Medical Imaging 2025: Computer-Aided Diagnosis  ·  04 Apr 2025  ·  doi:10.1117/12.3047163
Identifying key challenges in ovarian tumor classification: a comparative study using deep learning and radiomics
Identifying key challenges in ovarian tumor classification: a comparative study using deep learning and radiomics
Eloy Schultz, Terese A. E. Hellström, Cris Claessens, Anna H. Koch, Joost Nederend, Ilse Niers-Stobbe, Annemarie Bruining, Jurgen M. J. Piek, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2025: Computer-Aided Diagnosis  ·  04 Apr 2025  ·  doi:10.1117/12.3045208
2.5D mapping of the esophagus as imaging quality and completeness assuring extension for endoscopic computer-aided detection systems
2.5D mapping of the esophagus as imaging quality and completeness assuring extension for endoscopic computer-aided detection systems
Esmee Esselaar, Tim J. M. Jaspers, Carolus H. J. Kusters, Tim G. W. Boers, Martijn R. Jong, Rixta A. H. Van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Peter H. N. De With, Fons van der Sommen
Medical Imaging 2025: Computer-Aided Diagnosis  ·  04 Apr 2025  ·  doi:10.1117/12.3046636
Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real World Imaging Conditions on Barrett s Neoplasia Detection
Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real‐World Imaging Conditions on Barrett's Neoplasia Detection
M. R. Jong, T. J. M. Jaspers, C. H. J. Kusters, J. B. Jukema, R. A. H. van Eijck van Heslinga, …, J. A. van der Putten, F. van der Sommen, P. H. de With, A. J. de Groof, J. J. Bergman
United European Gastroenterology Journal  ·  21 Mar 2025  ·  doi:10.1002/ueg2.12760
Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in patients with pancreatic adenocarcinoma
Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in patients with pancreatic adenocarcinoma
Mike J.P. de Jong, Foke van Delft, Fer D.W. Radstake, Tom H. Perik, Geke Litjens, Tanya M. Bisseling, Fons van der Sommen, Erwin-Jan M. van Geenen, John J. Hermans, Peter D. Siersema
Pancreatology  ·  01 Mar 2025  ·  doi:10.1016/j.pan.2025.01.011
The development and ex vivo evaluation of a computer-aided quality control system for Barrett s esophagus endoscopy
The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy
Martijn R. Jong, Tim J. M. Jaspers, Rixta A. H. van Eijck van Heslinga, Jelmer B. Jukema, Carolus H. J. Kusters, …, Lucas C. Duits, Peter H. N. de With, Fons van der Sommen, Albert Jeroen de Groof, Jacques J. G. H. M. Bergman
Endoscopy  ·  11 Feb 2025  ·  doi:10.1055/a-2537-3510
Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems
Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems
Martijn R. Jong, Carolus H. J. Kusters, Querijn N. E. van Bokhorst, Jelmer B. Jukema, Rixta A. H. van Eijck van Heslinga, …, Evelien Dekker, Fons van der Sommen, Peter H. N. de With, Albert J. de Groof, Jacques J. G. H. M Bergman
Endoscopy  ·  30 Jan 2025  ·  doi:10.1055/a-2530-1845
Can Your Generative Model Detect Out-of-Distribution Covariate Shift
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan Viviers, Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2025  ·  doi:10.1007/978-3-031-91585-7_12
Will Transformers change gastrointestinal endoscopic image analysis A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization
Carolus H.J. Kusters, Tim J.M. Jaspers, Tim G.W. Boers, Martijn R. Jong, Jelmer B. Jukema, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. De With
Medical Image Analysis  ·  01 Jan 2025  ·  doi:10.1016/j.media.2024.103348
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Medical Imaging  ·  01 Jan 2025  ·  doi:10.1109/TMI.2024.3445999
Scaling up self-supervised learning for improved surgical foundation models
Scaling up self-supervised learning for improved surgical foundation models
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yiping Li, Carolus H. J. Kusters, Franciscus H. A. Bakker, …, Josien P. W. Pluim, Peter H. N. de With, Marcel Breeuwer, Yasmina Al Khalil, Fons van der Sommen
arXiv  ·  01 Jan 2025  ·  doi:10.48550/arXiv.2501.09436
Find the Assembly Mistakes: Error Segmentation for Industrial Applications
Find the Assembly Mistakes: Error Segmentation for Industrial Applications
Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2025  ·  doi:10.1007/978-3-031-92805-5_14
SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
Yiping Li, Ronald de Jong, Sahar Nasirihaghighi, Tim Jaspers, Romy van Jaarsveld, …, Richard van Hillegersberg, Fons van der Sommen, Jelle Ruurda, Marcel Breeuwer, Yasmina Al Khalil
arXiv  ·  01 Jan 2025  ·  doi:10.48550/arXiv.2506.01471

2024

Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Tim G.W. Boers, Kiki N. Fockens, Joost A. van der Putten, Tim J.M. Jaspers, Carolus H.J. Kusters, …, Maarten R. Struyvenberg, Jeroen de Groof, Jacques J. Bergman, Peter H.N. de With, Fons van der Sommen
Medical Image Analysis  ·  01 Dec 2024  ·  doi:10.1016/j.media.2024.103298
Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human artificial intelligence interaction
Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction
Quirine E.W. van der Zander, Rachel Roumans, Carolus H.J. Kusters, Nikoo Dehghani, Ad A.M. Masclee, Peter H.N. de With, Fons van der Sommen, Chris C.P. Snijders, Erik J. Schoon
Gastrointestinal Endoscopy  ·  01 Dec 2024  ·  doi:10.1016/j.gie.2024.06.029
Supervised Representation Learning Towards Generalizable Assembly State Recognition
Supervised Representation Learning Towards Generalizable Assembly State Recognition
Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H.N. de With, Fons van der Sommen
IEEE Robotics and Automation Letters  ·  01 Nov 2024  ·  doi:10.1109/LRA.2024.3468157
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, …, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. De With, Fons van der Sommen
Lecture Notes in Computer Science  ·  25 Oct 2024  ·  doi:10.1007/978-3-031-73748-0_5
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
Giulio Antonelli, Diogo Libanio, Albert Jeroen De Groof, Fons van der Sommen, Pietro Mascagni, …, Marco Spadaccini, Raf Bisschops, Jacques J G H M Bergman, Cesare Hassan, Mario Dinis Ribeiro
Gut  ·  15 Oct 2024  ·  doi:10.1136/gutjnl-2024-332820
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
Cris H.B. Claessens, Eloy W.R. Schultz, Anna Koch, Ingrid Nies, Terese A.E. Hellström, …, Ilse Niers-Stobbe, Annemarie Bruining, Jurgen M.J. Piek, Peter H.N. De With, Fons van der Sommen
Lecture Notes in Computer Science  ·  09 Oct 2024  ·  doi:10.1007/978-3-031-73376-5_1
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett s Neoplasia
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett’s Neoplasia
Carolus H. J. Kusters, Tim G. W. Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. De With
Lecture Notes in Computer Science  ·  09 Oct 2024  ·  doi:10.1007/978-3-031-73376-5_8
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
Lemar Abdi, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  03 Oct 2024  ·  doi:10.1007/978-3-031-73158-7_14
Computer-aided diagnosis improves characterization of Barrett s neoplasia by general endoscopists with video
Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video)
Jelmer B. Jukema, Carolus H.J. Kusters, Martijn R. Jong, Kiki N. Fockens, Tim Boers, …, Irving Waxman, Jessie Westerhof, Bas L. Weusten, Peter H. de With, Herbert C. Wolfsen
Gastrointestinal Endoscopy  ·  01 Oct 2024  ·  doi:10.1016/j.gie.2024.04.013
The use of a real-time computer-aided detection system for visible lesions in the Barrett s esophagus during live endoscopic procedures: a pilot study with video
The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures: a pilot study (with video)
Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Tim Boers, Joost A. van der Putten, …, Stefan Seewald, Fons van der Sommen, Jessie Westerhof, Bas L. Weusten, Peter H. de With
Gastrointestinal Endoscopy  ·  01 Sep 2024  ·  doi:10.1016/j.gie.2024.04.011
Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions
Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions
Ayla Thijssen, Ramon-Michel Schreuder, Nikoo Dehghani, Marieke Schor, Peter H.N. de With, Fons van der Sommen, Jurjen J. Boonstra, Leon M.G. Moons, Erik J. Schoon
Endoscopy International Open  ·  26 Aug 2024  ·  doi:10.1055/a-2403-3103
Segmentation CNNs are denoising models
Segmentation CNNs are denoising models
{ICML 2024 Workshop on Mechanistic Interpretability  ·  09 Aug 2024  ·  [no id info]
Estimating Surgical Urethral Length on Intraoperative Robot-Assisted Prostatectomy Images Using Artificial Intelligence Anatomy Recognition
Estimating Surgical Urethral Length on Intraoperative Robot-Assisted Prostatectomy Images Using Artificial Intelligence Anatomy Recognition
Aron F.H.A. Bakker, Joris V. de Nijs, Tim J.M. Jaspers, Peter H.N. de With, Alexander J.W. Beulens, Henk G. van der Poel, Fons van der Sommen, Willem M. Brinkman
Journal of Endourology  ·  01 Jul 2024  ·  doi:10.1089/end.2023.0697
Improved Pancreatic Cancer Detection and Localization on CT Scans: A Computer-Aided Detection Model Utilizing Secondary Features
Improved Pancreatic Cancer Detection and Localization on CT Scans: A Computer-Aided Detection Model Utilizing Secondary Features
Mark Ramaekers, Christiaan Viviers, Terese Hellström, Lotte Ewals, Nick Tasios, Igor Jacobs, Joost Nederend, Fons Sommen, Misha Luyer
Cancers  ·  29 Jun 2024  ·  doi:10.3390/cancers16132403
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy
Joris V. de Nijs, Tim J. M. Jaspers, Aron F.H.A. Bakker, Willem M. Brinkman, Peter H.N. de With, Fons van der Sommen
2024 IEEE International Symposium on Biomedical Imaging (ISBI)  ·  27 May 2024  ·  doi:10.1109/ISBI56570.2024.10635376
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies
Tim J.M. Jaspers, Tim G.W. Boers, Carolus H.J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H.N. de With, Fons van der Sommen
Medical Image Analysis  ·  01 May 2024  ·  doi:10.1016/j.media.2024.103157
Robustness evaluation of CAD systems for lung nodule segmentation using clinically relevant image perturbations
Robustness evaluation of CAD systems for lung nodule segmentation using clinically relevant image perturbations
Fidan Mammadli, Terese A. E. Hellström, Christiaan G. A. Viviers, Igor Jacobs, Lotte J. S. Ewals, …, Dimitrios Mavroeidis, Hendrika P. M. Verhees, Peter H. N. de With, Joost Nederend, Fons van der Sommen
Medical Imaging 2024: Image Processing  ·  02 Apr 2024  ·  doi:10.1117/12.3006211
Evaluating task-specific augmentations in self-supervised pre-training for 3D medical image analysis
Evaluating task-specific augmentations in self-supervised pre-training for 3D medical image analysis
Cris Claessens, Julie Hamm, Christiaan G. A. Viviers, Joost Nederend, Dirk Grünhagen, Pieter Tanis, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2024: Image Processing  ·  02 Apr 2024  ·  doi:10.1117/12.3000850
Image quality pitfalls in AI: Safeguarding Barrett amp;apos;s neoplasia detection with robust deep learning training strategies
Image quality pitfalls in AI: Safeguarding Barrett's neoplasia detection with robust deep learning training strategies
M. Jong, T. Jaspers, C. Kusters, J. Jukema, K. Fockens, …, T. Boers, F. Van Der Sommen, P. De With, J. De Groof, J. Bergman
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/S-0044-1782860
Domain-specific data augmentation improves robustness of endoscopic AI systems
Domain-specific data augmentation improves robustness of endoscopic AI systems
M. Jong, C. Kusters, Q.N. E. van Bokhorst, J. Jukema, K. Fockens, …, E. Dekker, F. Van Der Sommen, P. De With, J. De Groof, J. Bergman
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/S-0044-1783480
Current evidence and future directions on improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence a scoping review
Current evidence and future directions on improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence – a scoping review
A. Thijssen, R. M. Schreuder, N. Dehghani, M. Schor, P. De With, F. Van Der Sommen, J. Boonstra, L.M. G. Moons, E. J. Schoon
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/s-0044-1783377
Comparison of graphical user interfaces for computer-aided detection of Barrett s neoplasia
Comparison of graphical user interfaces for computer-aided detection of Barrett’s neoplasia
M. Jong, J. Jukema, K. Fockens, R. van Eijck van Heslinga, C. Kusters, …, T. Jaspers, F. Van Der Sommen, P. De With, J. De Groof, J. Bergman
Endoscopy  ·  01 Apr 2024  ·  doi:10.1055/S-0044-1783240
Risks and rewards of AI democratization
Risks and rewards of AI democratization
Fons van der Sommen, Jeroen de Groof
United European Gastroenterology Journal  ·  25 Mar 2024  ·  doi:10.1002/ueg2.12560
The Impact of Expectation Management and Model Transparency on Radiologists Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study
The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter
JMIR AI  ·  13 Mar 2024  ·  doi:10.2196/52211
Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems
Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems
Quirine Eunice Wennie van der Zander, Ramon M Schreuder, Ayla Thijssen, Carolus H J Kusters, Nikoo Dehghani, …, Mirjam C M van der Ende - van Loon, Peter H N de With, Fons van der Sommen, Ad A M Masclee, Erik J Schoon
Artificial Intelligence in Gastrointestinal Endoscopy  ·  08 Mar 2024  ·  doi:10.37126/aige.v5.i1.90574
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H.N. de With, Fons Van der Sommen
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)  ·  03 Jan 2024  ·  doi:10.1109/WACV57701.2024.00431
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Image Processing  ·  01 Jan 2024  ·  doi:10.1109/TIP.2024.3378469
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing
Marissa Ramirez De Chanlatte, Phil Colella, Trevor Darrell, Alexandra Katherine Carlson, Peter H.N. De With, …, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)  ·  01 Jan 2024  ·  doi:10.1109/WACVW60836.2024.00088
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, …, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. De With, Fons van der Sommen
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2407.17904
Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy
Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy
Ronald L. P. D. de Jong, Yasmina al Khalil, Tim J. M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Yiping Li, Richard van Hillegersberg, Jelle P. Ruurda, Marcel Breeuwer, Fons van der Sommen
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2412.03401

2023

A deep learning system for detection of early Barrett s neoplasia: a model development and validation study
A deep learning system for detection of early Barrett's neoplasia: a model development and validation study
K N Fockens, M R Jong, J B Jukema, T G W Boers, C H J Kusters, …, Irving Waxman, Jessie Westerhof, Bas L Weusten, Peter H N de With, Herbert C Wolfsen
The Lancet Digital Health  ·  01 Dec 2023  ·  doi:10.1016/S2589-7500(23)00199-1
The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species
The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species
Tim E Putman, Kevin Schaper, Nicolas Matentzoglu, Vincent P Rubinetti, Faisal S Alquaddoomi, …, Damian Smedley, Peter N Robinson, Christopher J Mungall, Melissa A Haendel, Monica C Munoz-Torres
Nucleic Acids Research  ·  24 Nov 2023  ·  doi:10.1093/nar/gkad1082
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs
Luis Albert Zavala-Mondragón, Peter H.N. de With, Fons van der Sommen
IEEE Signal Processing Magazine  ·  01 Nov 2023  ·  doi:10.1109/MSP.2023.3300100
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models
Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese A. E. Hellström, Nick Tasios, …, Jon Pluyter, Igor Jacobs, Misha Luyer, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  26 Oct 2023  ·  doi:10.1007/978-3-031-47076-9_6
Investigating the Impact of Image Quality on Endoscopic AI Model Performance
Investigating the Impact of Image Quality on Endoscopic AI Model Performance
Tim J. M. Jaspers, Tim G. W. Boers, Carolus H. J. Kusters, Martijn R. Jong, Jelmer B. Jukema, Albert J. de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  26 Oct 2023  ·  doi:10.1007/978-3-031-47076-9_4
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis
Carolus H. J. Kusters, Tim G. W. Boers, Tim J. M. Jaspers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  26 Oct 2023  ·  doi:10.1007/978-3-031-47076-9_3
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
Geke Litjens, Joris P. E. A. Broekmans, Tim Boers, Marco Caballo, Maud H. F. van den Hurk, …, Cees J. H. M. van Laarhoven, Mathias Prokop, Peter H. N. de With, Fons van der Sommen, John J. Hermans
Diagnostics  ·  13 Oct 2023  ·  doi:10.3390/diagnostics13203198
Integration of 168,000 samples reveals global patterns of the human gut microbiome
Integration of 168,000 samples reveals global patterns of the human gut microbiome
Richard J. Abdill, Samantha P. Graham, Vincent Rubinetti, Frank W. Albert, Casey S. Greene, Sean Davis, Ran Blekhman
openRxiv  ·  11 Oct 2023  ·  doi:10.1101/2023.10.11.560955
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers, Mark Ramaekers, Amaan Valiuddin, Terese Hellström, Nick Tasios, …, Lotte Ewals, Joost Nederend, Peter de With, Misha Luyer, Fons van der Sommen
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)  ·  02 Oct 2023  ·  doi:10.1109/ICCVW60793.2023.00256
The Impact of Expectation Management and Model Transparency on Radiologists Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study Preprint
The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study (Preprint)
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter
JMIR Publications Inc.  ·  27 Aug 2023  ·  doi:10.2196/preprints.52211
Computer-Aided Detection for Pancreatic Cancer Diagnosis: Radiological Challenges and Future Directions
Computer-Aided Detection for Pancreatic Cancer Diagnosis: Radiological Challenges and Future Directions
Mark Ramaekers, Christiaan G. A. Viviers, Boris V. Janssen, Terese A. E. Hellström, Lotte Ewals, …, Jon R. Pluyter, Dimitrios Mavroeidis, Fons van der Sommen, Marc G. Besselink, Misha D. P. Luyer
Journal of Clinical Medicine  ·  22 Jun 2023  ·  doi:10.3390/jcm12134209
The Effects of Artificial Intelligence Assistance on the Radiologists Assessment of Lung Nodules on CT Scans: A Systematic Review
The Effects of Artificial Intelligence Assistance on the Radiologists’ Assessment of Lung Nodules on CT Scans: A Systematic Review
Lotte J. S. Ewals, Kasper van der Wulp, Ben E. E. M. van den Borne, Jon R. Pluyter, Igor Jacobs, Dimitrios Mavroeidis, Fons van der Sommen, Joost Nederend
Journal of Clinical Medicine  ·  18 May 2023  ·  doi:10.3390/jcm12103536
Erratum: Automatic textual description of colorectal polyp features: explainable artificial intelligence
Erratum: Automatic textual description of colorectal polyp features: explainable artificial intelligence
Ayla Thijssen, Ramon-Michel Schreuder, Roger Fonollà, Quirine van der Zander, Thom Scheeve, …, Pradeep Bhandari, Peter de With, Ad Masclee, Fons van der Sommen, Erik Schoon
Endoscopy International Open  ·  01 May 2023  ·  doi:10.1055/a-2103-9750
Training procedure for scanning electron microscope 3D surface reconstruction using unsupervised domain adaptation with simulated data
Training procedure for scanning electron microscope 3D surface reconstruction using unsupervised domain adaptation with simulated data
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter de With
Journal of Micro/Nanopatterning, Materials, and Metrology  ·  28 Apr 2023  ·  doi:10.1117/1.JMM.22.3.031208
Depth estimation from SEM images using deep learning and angular data diversity
Depth estimation from SEM images using deep learning and angular data diversity
Tim Houben, Maxim Pisarenco, Thomas Huisman, Hans Onvlee, Fons van der Sommen, Peter H. N. de With
Metrology, Inspection, and Process Control XXXVII  ·  27 Apr 2023  ·  doi:10.1117/12.2658094
Towards a robust and compact deep learning system for primary detection of early Barrett s neoplasia: Initial image based results of training on a multi center retrospectively collected data set
Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image‐based results of training on a multi‐center retrospectively collected data set
Kiki N. Fockens, Jelmer B. Jukema, Tim Boers, Martijn R. Jong, Joost A. van der Putten, …, Torsten Beyna, Fons van der Sommen, Peter H. de With, A. Jeroen de Groof, Jacques J. Bergman
United European Gastroenterology Journal  ·  24 Apr 2023  ·  doi:10.1002/ueg2.12363
MyGeneset.info: an interactive and programmatic platform for community-curated and user-created collections of genes
MyGeneset.info: an interactive and programmatic platform for community-curated and user-created collections of genes
Ricardo Avila, Vincent Rubinetti, Xinghua Zhou, Dongbo Hu, Zhongchao Qian, Marco Alvarado Cano, Everaldo Rodolpho, Ginger Tsueng, Casey Greene, Chunlei Wu
Nucleic Acids Research  ·  18 Apr 2023  ·  doi:10.1093/nar/gkad289
Automatic textual description of colorectal polyp features: explainable artificial intelligence
Automatic textual description of colorectal polyp features: explainable artificial intelligence
Ayla Thijssen, Ramon-Michel Schreuder, Roger Fonollà, Quirine van der Zander, Thom Scheeve, …, Pradeep Bhandari, Peter de With, Ad Masclee, Fons van der Sommen, Erik Schoon
Endoscopy International Open  ·  11 Apr 2023  ·  doi:10.1055/a-2071-6652
Real-time Barrett s neoplasia characterization in NBI videos using an int8-based quantized neural network
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
Carolus H. Kusters, Tim G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2647557
How does image quality affect computer-aided diagnosis of colorectal polyps
How does image quality affect computer-aided diagnosis of colorectal polyps?
Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2654167
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization
Nikoo Dehghani, Thom Scheeve, Tim G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2653848
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation
Terese Hellström, Christiaan Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2654164
Barrett s lesion detection using a minimal integer-based neural network for embedded systems integration
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration
Tim G. W. Boers, Carolus H. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques Bergman, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2023: Computer-Aided Diagnosis  ·  07 Apr 2023  ·  doi:10.1117/12.2653890
Optical Biopsy of Dysplasia in Barrett s Oesophagus Assisted by Artificial Intelligence
Optical Biopsy of Dysplasia in Barrett’s Oesophagus Assisted by Artificial Intelligence
Jouke J. H. van der Laan, Joost A. van der Putten, Xiaojuan Zhao, Arend Karrenbeld, Frans T. M. Peters, Jessie Westerhof, Peter H. N. de With, Fons van der Sommen, Wouter B. Nagengast
Cancers  ·  24 Mar 2023  ·  doi:10.3390/cancers15071950
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
R. B. den Boer, T. J. M. Jaspers, C. de Jongh, J. P. W. Pluim, F. van der Sommen, T. Boers, R. van Hillegersberg, M. A. J. M. Van Eijnatten, J. P. Ruurda
Surgical Endoscopy  ·  22 Mar 2023  ·  doi:10.1007/s00464-023-09990-z
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings
Tim J. Schoonbeek, Hans Onvlee, Pierluigi Frisco, Peter H.N. De With, Fons Van der Sommen
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)  ·  01 Mar 2023  ·  doi:10.1109/VRW58643.2023.00283
Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
Anna H. Koch, Lara S. Jeelof, Caroline L. P. Muntinga, T. A. Gootzen, Nienke M. A. van de Kruis, Joost Nederend, Tim Boers, Fons van der Sommen, Jurgen M. J. Piek
Insights into Imaging  ·  15 Feb 2023  ·  doi:10.1186/s13244-022-01345-x
Hetnet connectivity search provides rapid insights into how two biomedical entities are related
Hetnet connectivity search provides rapid insights into how two biomedical entities are related
Daniel S. Himmelstein, Michael Zietz, Vincent Rubinetti, Kyle Kloster, Benjamin J. Heil, …, David N. Nicholson, Yun Hao, Blair D. Sullivan, Michael W. Nagle, Casey S. Greene
openRxiv  ·  07 Jan 2023  ·  doi:10.1101/2023.01.05.522941
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search
Kurt Stolle, Sebastian Vogel, Fons van der Sommen, Willem Sanberg
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-26419-1_28
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers, Mark Ramaekers, Amaan Valiuddin, Terese Hellström, Nick Tasios, …, Lotte Ewals, Joost Nederend, Peter de With, Misha Luyer, Fons van der Sommen
arXiv  ·  01 Jan 2023  ·  doi:10.48550/arXiv.2310.00639

2022

Hetnet connectivity search provides rapid insights into how biomedical entities are related
Hetnet connectivity search provides rapid insights into how biomedical entities are related
Daniel S Himmelstein, Michael Zietz, Vincent Rubinetti, Kyle Kloster, Benjamin J Heil, …, David N Nicholson, Yun Hao, Blair D Sullivan, Michael W Nagle, Casey S Greene
GigaScience  ·  28 Dec 2022  ·  doi:10.1093/gigascience/giad047
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks
Luis A. Zavala-Mondragon, Peter Rongen, Javier Olivan Bescos, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Medical Imaging  ·  01 Aug 2022  ·  doi:10.1109/TMI.2022.3154011
Augmented Reality for Automatically Generating Robust Manufacturing and Maintenance Logs
Augmented Reality for Automatically Generating Robust Manufacturing and Maintenance Logs
Tim Schoonbeek, Pierluigi Frisco, Hans Onvlee, Peter H. N. de With, Fons van der Sommen
London Imaging Meeting  ·  06 Jul 2022  ·  doi:10.2352/lim.2022.1.1.15
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons van der Sommen, Peter H. N. de With
Machine Vision and Applications  ·  01 Jul 2022  ·  doi:10.1007/s00138-022-01314-w
REAL-TIME CLASSIFICATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
REAL-TIME CLASSIFICATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE – A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
Quirine E. van der Zander, Ramon-Michel Schreuder, Ayla Thijssen, Koen C. Kusters, Nikoo Dehghani, …, Mirjam V. Ende, P.H.N. De With, Fons Van Der Sommen, Ad Masclee, Erik.J. Schoon
Gastrointestinal Endoscopy  ·  01 Jun 2022  ·  doi:10.1016/j.gie.2022.04.651
Evaluation and comparison of textural feature representation for the detection of early stage cancer in endoscopy
Evaluation and comparison of textural feature representation for the detection of early stage cancer in endoscopy
VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications  ·  27 May 2022  ·  [no id info]
The paradox of artificial intelligence diversification in endoscopy: creating blind spots by exposing them
The paradox of artificial intelligence diversification in endoscopy: creating blind spots by exposing them
Fons van der Sommen
Endoscopy  ·  12 May 2022  ·  doi:10.1055/a-1820-7113
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray
Christiaan Viviers, Joël de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen
Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  04 Apr 2022  ·  doi:10.1117/12.2611143
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task
Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost A. van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn de Jong, Jacques J. Bergman, Peter H. N. de With
Medical Imaging 2022: Computer-Aided Diagnosis  ·  04 Apr 2022  ·  doi:10.1117/12.2611133
Colorectal polyp classification using confidence-calibrated convolutional neural networks
Colorectal polyp classification using confidence-calibrated convolutional neural networks
Koen C. Kusters, Thom Scheeve, Nikoo Dehghani, Quirine E. van der Zander, Ramon-Michel Schreuder, Ad A. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2022: Computer-Aided Diagnosis  ·  04 Apr 2022  ·  doi:10.1117/12.2606801
AUTOMATIC TEXTUAL DESCRIPTION OF COLORECTAL POLYP FEATURES: EXPLAINABLE ARTIFICIAL INTELLIGENCE BASED ON THE BASIC CLASSIFICATION
AUTOMATIC TEXTUAL DESCRIPTION OF COLORECTAL POLYP FEATURES: EXPLAINABLE ARTIFICIAL INTELLIGENCE BASED ON THE BASIC CLASSIFICATION
A. Thijssen, R.-M. Schreuder, R. Fonollà, Q.E. van der Zander, T. Scheeve, …, P. Bhandari, P.H. de With, A.A. Masclee, F. van der Sommen, E.J. Schoon
Endoscopy  ·  01 Apr 2022  ·  doi:10.1055/s-0042-1744778
REAL-TIME CHARACTERIZATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
REAL-TIME CHARACTERIZATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE – A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
Q.E. van der Zander, R.-M. Schreuder, A. Thijssen, K.C. Kusters, N. Dehghani, …, M.C. van der Ende-van Loon, P.H. de With, F. van der Sommen, A.A. Masclee, E.J. Schoon
Endoscopy  ·  01 Apr 2022  ·  doi:10.1055/s-0042-1745059
Correction: Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Correction: Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Leonardo Frazzoni, Giulio Antonelli, Julia Arribas, Diogo Libanio, Alanna Ebigbo, …, Prateek Sharma, Helmut Messmann, Cesare Hassan, Lorenzo Fuccio, Mário Dinis-Ribeiro
Endoscopy  ·  01 Apr 2022  ·  doi:10.1055/a-1907-9242
Depth estimation from a single CD-SEM image using domain adaptation with multimodal data
Depth estimation from a single CD-SEM image using domain adaptation with multimodal data
Tim Houben, Thomas Huisman, Maxim Pisarenco, Fons v. Sommen, Peter d. With
Fourteenth International Conference on Machine Vision (ICMV 2021)  ·  05 Mar 2022  ·  doi:10.1117/12.2622635
MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny
MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny
Faisal S Alquaddoomi, Joseph T Burke, Lo Sosinski, David A Mayer, Evan P Brenner, …, Vincent P Rubinetti, Shaddai Amolitos, Kellen M Reason, John B Johnston, Janani Ravi
openRxiv  ·  22 Feb 2022  ·  doi:10.1101/2022.02.18.461833
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network
Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_11
Cancer Prevention Through Early Detection
Cancer Prevention Through Early Detection
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_14
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_10
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett s Neoplasia Detection
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett’s Neoplasia Detection
Tim G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_13
A CAD System for Real-Time Characterization of Neoplasia in Barrett s Esophagus NBI Videos
A CAD System for Real-Time Characterization of Neoplasia in Barrett’s Esophagus NBI Videos
Carolus H. J. Kusters, Tim G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17979-2_9

2021

Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Koen C. Kusters, Luis A. Zavala-Mondragon, Javier Olivan Bescos, Peter Rongen, Peter H.N. de With, Fons van der Sommen
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Nov 2021  ·  doi:10.1109/embc46164.2021.9629600
Automatic image and text-based description for colorectal polyps using BASIC classification
Automatic image and text-based description for colorectal polyps using BASIC classification
Roger Fonollà, Quirine E.W. van der Zander, Ramon M. Schreuder, Sharmila Subramaniam, Pradeep Bhandari, Ad A.M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H.N. de With
Artificial Intelligence in Medicine  ·  01 Nov 2021  ·  doi:10.1016/j.artmed.2021.102178
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Koen C. Kusters, Luis A. Zavala-Mondragon, Javier Olivan Bescos, Peter Rongen, Peter H.N. de With, Fons van der Sommen
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Nov 2021  ·  doi:10.1109/EMBC46164.2021.9629600
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett s Esophagus
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett’s Esophagus
S. Cornelissen, J.A. van der Putten, T. G. W. Boers, J.B. Jukema, K.N. Fockens, J.J.G.H.M. Bergman, F. van der Sommen, P.H.N. de With
2021 IEEE International Conference on Image Processing (ICIP)  ·  19 Sep 2021  ·  doi:10.1109/ICIP42928.2021.9506121
Algorithm combining virtual chromoendoscopy features for colorectal polyp classification
Algorithm combining virtual chromoendoscopy features for colorectal polyp classification
Ramon-Michel Schreuder, Qurine E.W. van der Zander, Roger Fonollà, Lennard P.L. Gilissen, Arnold Stronkhorst, Birgitt Klerkx, Peter H.N. de With, Ad M. Masclee, Fons van der Sommen, Erik J. Schoon
Endoscopy International Open  ·  16 Sep 2021  ·  doi:10.1055/a-1512-5175
ID: 3525469 IDENTIFICATION OF DYSPLASIA IN THE BARRETT S ESOPHAGUS USING AN ENDOCYTOSCOPY CLASSIFICATION SYSTEM: PRELIMINARY RESULTS OF A PROSPECTIVE COMPARISON BETWEEN CLINICIANS AND ARTIFICIAL INTELLIGENCE
ID: 3525469 IDENTIFICATION OF DYSPLASIA IN THE BARRETT'S ESOPHAGUS USING AN ENDOCYTOSCOPY CLASSIFICATION SYSTEM: PRELIMINARY RESULTS OF A PROSPECTIVE COMPARISON BETWEEN CLINICIANS AND ARTIFICIAL INTELLIGENCE
Jouke J. van der Laan, Joost Van Der Putten, Xiaojuan Zhao, Iris Schmidt, Ruben Y. Gabriëls, Arend Karrenbeld, Frans Peters, Jessie Westerhof, Fons Van Der Sommen, Wouter B. Nagengast
Gastrointestinal Endoscopy  ·  01 Jun 2021  ·  doi:10.1016/j.gie.2021.03.463
Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies
Leonardo Frazzoni, Giulio Antonelli, Julia Arribas, Diogo Libanio, Alanna Ebigbo, …, Prateek Sharma, Helmut Messmann, Cesare Hassan, Lorenzo Fuccio, Mário Dinis-Ribeiro
Endoscopy  ·  05 May 2021  ·  doi:10.1055/a-1500-3730
Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett s neoplasia
Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett’s neoplasia
Maarten R. Struyvenberg, Albert J. de Groof, Roger Fonollà, Fons van der Sommen, Peter H.N. de With, …, Sybren L. Meijer, Michael Vieth, Roos E. Pouw, Wouter L. Curvers, Jacques J. Bergman
Gastrointestinal Endoscopy  ·  01 Apr 2021  ·  doi:10.1016/j.gie.2020.07.052
Triplet network for classification of benign and pre-malignant polyps
Triplet network for classification of benign and pre-malignant polyps
Roger Fonollà, Maciej Smyl, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With
Medical Imaging 2021: Computer-Aided Diagnosis  ·  15 Feb 2021  ·  doi:10.1117/12.2577546
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks
Sanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost A. van der Putten, Maarten R. Struyvenberg, Jacques J. Bergman, Peter H. N. de With
Medical Imaging 2021: Computer-Aided Diagnosis  ·  15 Feb 2021  ·  doi:10.1117/12.2579751
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach
Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost A. van der Putten, Maarten R. Struyvenberg, Jacques J. Bergman, Peter H. N. de With
Medical Imaging 2021: Image Processing  ·  15 Feb 2021  ·  doi:10.1117/12.2579573
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging
Luis Albert Zavala-Mondragon, Klaus Juergen Engel, Bernd Menser, Danny Ruijters, Peter H.N. de With, Fons van der Sommen
Medical Imaging 2021: Image Processing  ·  15 Feb 2021  ·  doi:10.1117/12.2579500
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach
Francesca Manni, Chuchen Cai, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, …, Adrian Elmi-Terander, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, Peter H. N. de With
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  15 Feb 2021  ·  doi:10.1117/12.2580158
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy
Francesca Manni, Cyril Ferrer, Celine E. C. Vincent, Marco Lai, Lambertus W. Bartels, Clemens Bos, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  15 Feb 2021  ·  doi:10.1117/12.2580838
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-87735-4_8
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT
Luis Albert Zavala-Mondragon, Peter H. N. de With, Fons van der Sommen
IEEE Transactions on Image Processing  ·  01 Jan 2021  ·  doi:10.1109/TIP.2021.3125489
Advanced Imaging and Sampling in Barrett s Esophagus
Advanced Imaging and Sampling in Barrett’s Esophagus
Maarten R. Struyvenberg, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. de With, Vani J.A. Konda, Wouter L. Curvers
Gastrointestinal Endoscopy Clinics of North America  ·  01 Jan 2021  ·  doi:10.1016/j.giec.2020.08.006
A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett s esophagus
A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus
Maarten R. Struyvenberg, Albert J. de Groof, Joost van der Putten, Fons van der Sommen, Francisco Baldaque-Silva, …, Michael Vieth, Erik J. Schoon, Wouter L. Curvers, Peter H. de With, Jacques J. Bergman
Gastrointestinal Endoscopy  ·  01 Jan 2021  ·  doi:10.1016/j.gie.2020.05.050

2020

Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system CADx compared with intuitive optical diagnosis
Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis
Quirine E. W. van der Zander, Ramon M. Schreuder, Roger Fonollà, Thom Scheeve, Fons van der Sommen, …, Sharmila Subramaniam, Pradeep Bhandari, Peter H. N. de With, Ad A. M. Masclee, Erik J. Schoon
Endoscopy  ·  23 Dec 2020  ·  doi:10.1055/a-1343-1597
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach
Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi-Terander, Samuel Ortega, Gustavo Marrero Callicó, Peter H. N. de With
Sensors  ·  05 Dec 2020  ·  doi:10.3390/s20236955
Open collaborative writing with Manubot
Open collaborative writing with Manubot
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Manubot
Manuscript Source
Website
open-science collaboration
Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
Julia Arribas, Giulio Antonelli, Leonardo Frazzoni, Lorenzo Fuccio, Alanna Ebigbo, …, J J G H M Bergman, Prateek Sharma, Helmut Messmann, Cesare Hassan, Mario J Dinis-Ribeiro
Gut  ·  30 Oct 2020  ·  doi:10.1136/gutjnl-2020-321922
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Luis A. Zavala-Mondragon, Danny Ruijters, Peter van de Haar, Peter H.N. de With, Fons van der Sommen
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)  ·  01 Sep 2020  ·  doi:10.1109/mlsp49062.2020.9231535
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks
Luis A. Zavala-Mondragon, Danny Ruijters, Peter van de Haar, Peter H.N. de With, Fons van der Sommen
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)  ·  01 Sep 2020  ·  doi:10.1109/MLSP49062.2020.9231535
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks
Tim Boers, Joost van der Putten, Maarten Struyvenberg, Kiki Fockens, Jelmer Jukema, Erik Schoon, Fons van der Sommen, Jacques Bergman, Peter de With
Sensors  ·  24 Jul 2020  ·  doi:10.3390/s20154133
A CNN CADx System for Multimodal Classification of Colorectal Polyps Combining WL, BLI, and LCI Modalities
A CNN CADx System for Multimodal Classification of Colorectal Polyps Combining WL, BLI, and LCI Modalities
Roger Fonollà, Quirine E. W. van der Zander, Ramon M. Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Applied Sciences  ·  22 Jul 2020  ·  doi:10.3390/app10155040
Multi-stage domain-specific pretraining for improved detection and localization of Barrett s neoplasia: A comprehensive clinically validated study
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study
Joost van der Putten, Jeroen de Groof, Maarten Struyvenberg, Tim Boers, Kiki Fockens, Wouter Curvers, Erik Schoon, Jacques Bergman, Fons van der Sommen, Peter H.N. de With
Artificial Intelligence in Medicine  ·  01 Jul 2020  ·  doi:10.1016/j.artmed.2020.101914
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery
Francesca Manni, Roger Fonolla, Fons van der Sommen, Svetlana Zinger, Caifeng Shan, Esther Kho, Susan Brouwer de Koning, Theo Ruers, Peter H.N. de With
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Jul 2020  ·  doi:10.1109/EMBC44109.2020.9176543
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery
Francesca Manni, Adrian Elmi-Terander, Gustav Burström, Oscar Persson, Erik Edström, Ronald Holthuizen, Caifeng Shan, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With
Sensors  ·  29 Jun 2020  ·  doi:10.3390/s20133641
Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery
Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery
Francesca Manni, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Ronald Holthuizen, …, Gustav Buström, Richelle J. M. Hoveling, Erik Edström, Adrian Elmi-Terander, Peter H. N. de With
Applied Sciences  ·  12 Jun 2020  ·  doi:10.3390/app10124078
Deep learning algorithm detection of Barrett s neoplasia with high accuracy during live endoscopic procedures: a pilot study with video
Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)
Albert J. de Groof, Maarten R. Struyvenberg, Kiki N. Fockens, Joost van der Putten, Fons van der Sommen, …, Peter H. de With, Roos E. Pouw, Wouter L. Curvers, Erik J. Schoon, Jacques J.G. H.M. Bergman
Gastrointestinal Endoscopy  ·  01 Jun 2020  ·  doi:10.1016/j.gie.2019.12.048
Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos
Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos
Joost van der Putten, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Francisco Baldaque-Silva, Jacques Bergman, Fons van der Sommen, Peter H.N. de With
Applied Sciences  ·  14 May 2020  ·  doi:10.3390/app10103407
Machine learning in GI endoscopy: practical guidance in how to interpret a novel field
Machine learning in GI endoscopy: practical guidance in how to interpret a novel field
Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Joost van der Putten, Tim Boers, …, Wouter Curvers, Peter de With, Yuichi Mori, Michael Byrne, Jacques J G H M Bergman
Gut  ·  11 May 2020  ·  doi:10.1136/gutjnl-2019-320466
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
Gregory P. Way, Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene
Genome Biology  ·  11 May 2020  ·  doi:10.1186/s13059-020-02021-3
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections
Luis A. Zavala-Mondragon, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H.N. de With
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)  ·  01 Apr 2020  ·  doi:10.1109/isbi45749.2020.9098442
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections
Luis A. Zavala-Mondragon, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H.N. de With
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)  ·  01 Apr 2020  ·  doi:10.1109/ISBI45749.2020.9098442
IMPROVING OPTICAL DIAGNOSIS OF COLORECTAL POLYPS USING COMPUTER-AIDED DIAGNOSIS CADX
IMPROVING OPTICAL DIAGNOSIS OF COLORECTAL POLYPS USING COMPUTER-AIDED DIAGNOSIS (CADX)
QEW van der Zander, RM Schreuder, R Fonolla, T Scheeve, F van der Sommen, …, S Subramaniam, P Bhandari, PHN de With, AAM Masclee, EJ Schoon
Endoscopy  ·  01 Apr 2020  ·  doi:10.1055/s-0040-1704736
The field effect in Barrett s Esophagus: a macroscopic view using white light endoscopy and deep learning
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning
Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Peter de With
Medical Imaging 2020: Computer-Aided Diagnosis  ·  16 Mar 2020  ·  doi:10.1117/12.2549391
First steps into endoscopic video analysis for Barrett s cancer detection: challenges and opportunities
First steps into endoscopic video analysis for Barrett’s cancer detection: challenges and opportunities
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Medical Imaging 2020: Computer-Aided Diagnosis  ·  16 Mar 2020  ·  doi:10.1117/12.2544229
Influence of decoder size for binary segmentation tasks in medical imaging
Influence of decoder size for binary segmentation tasks in medical imaging
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2020: Image Processing  ·  10 Mar 2020  ·  doi:10.1117/12.2542199
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks
Tim Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Wouter Curvers, Erik Schoon, Fons van der Sommen, Jacques Bergman, Peter H. N. de With
Medical Imaging 2020: Image Processing  ·  10 Mar 2020  ·  doi:10.1117/12.2545734
Deep principal dimension encoding for the classification of early neoplasia in Barrett s Esophagus with volumetric laser endomicroscopy
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy
Joost van der Putten, Maarten Struyvenberg, Jeroen de Groof, Thom Scheeve, Wouter Curvers, Erik Schoon, Jacques J.G.H.M. Bergman, Peter H.N. de With, Fons van der Sommen
Computerized Medical Imaging and Graphics  ·  01 Mar 2020  ·  doi:10.1016/j.compmedimag.2020.101701
Deep-Learning System Detects Neoplasia in Patients With Barrett s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking
Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking
Albert J. de Groof, Maarten R. Struyvenberg, Joost van der Putten, Fons van der Sommen, Kiki N. Fockens, …, Raf Bisschops, John Dent, Erik J. Schoon, Peter H. de With, Jacques J. Bergman
Gastroenterology  ·  01 Mar 2020  ·  doi:10.1053/j.gastro.2019.11.030
Constructing knowledge graphs and their biomedical applications
Constructing knowledge graphs and their biomedical applications
David N. Nicholson, Casey S. Greene
Computational and Structural Biotechnology Journal  ·  01 Jan 2020  ·  doi:10.1016/j.csbj.2020.05.017
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems
Joost Van Der Putten, Fons Van Der Sommen, Peter H. N. De with
IEEE Access  ·  01 Jan 2020  ·  doi:10.1109/ACCESS.2020.3020360

2019

Gastroenterology needs its own ImageNet
Gastroenterology needs its own ImageNet
Fons van der Sommen
Journal of Medical Artificial Intelligence  ·  01 Dec 2019  ·  doi:10.21037/jmai.2019.11.03
Time for second-generation artificial intelligence in medical imaging
Time for second-generation artificial intelligence in medical imaging
Fons van der Sommen
Endoscopy  ·  27 Nov 2019  ·  doi:10.1055/a-0999-5476
Modeling clinical assessor intervariability using deep hypersphere encoder decoder networks
Modeling clinical assessor intervariability using deep hypersphere encoder–decoder networks
Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Neural Computing and Applications  ·  21 Nov 2019  ·  doi:10.1007/s00521-019-04607-w
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H.N. de With
2019 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2019  ·  doi:10.1109/ICIP.2019.8802947
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models
Michelle C. A. van Grinsven, Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Erik J. Schoon, Peter H. N. de With
2019 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2019  ·  doi:10.1109/ICIP.2019.8803822
Improved Barrett s neoplasia detection using computer-assisted multiframe analysis of volumetric laser endomicroscopy
Improved Barrett's neoplasia detection using computer-assisted multiframe analysis of volumetric laser endomicroscopy
M R Struyvenberg, F van der Sommen, A F Swager, A J de Groof, A Rikos, E J Schoon, J J Bergman, P H N de With, W L Curvers
Diseases of the Esophagus  ·  31 Jul 2019  ·  doi:10.1093/dote/doz065
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures
Francesca Manni, Erik Edstrom, Peter H.N. de With, Xin Liu, Ronald Holthuizen, …, Fons van der Sommen, Caifeng Shan, Marco Mamprin, Gustav Burstrom, Adrian Elmi-Terander
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  ·  01 Jul 2019  ·  doi:10.1109/EMBC.2019.8856304
Ensemble of Deep Convolutional Neural Networks for Classification of Early Barrett s Neoplasia Using Volumetric Laser Endomicroscopy
Ensemble of Deep Convolutional Neural Networks for Classification of Early Barrett’s Neoplasia Using Volumetric Laser Endomicroscopy
Roger Fonollà, Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Fons van der Sommen, Erik J. Schoon, Jacques J.G.H.M. Bergman, Peter H.N. de With
Applied Sciences  ·  28 May 2019  ·  doi:10.3390/app9112183
The Argos project: The development of a computer aided detection system to improve detection of Barrett s neoplasia on white light endoscopy
The Argos project: The development of a computer‐aided detection system to improve detection of Barrett's neoplasia on white light endoscopy
Jeroen de Groof, Fons van der Sommen, Joost van der Putten, Maarten R Struyvenberg, Sveta Zinger, …, Horst Neuhaus, Raf Bisschops, Erik J Schoon, Peter H de With, Jacques J Bergman
United European Gastroenterology Journal  ·  01 May 2019  ·  doi:10.1177/2050640619837443
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation
Roger Fonolla, Fons van der Sommen, Ramon M. Schreuder, Erik J. Schoon, Peter H.N. de With
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  ·  01 Apr 2019  ·  doi:10.1109/ISBI.2019.8759320
Deep Learning Biopsy Marking of Early Neoplasia in Barrett s Esophagus by Combining WLE and BLI Modalities
Deep Learning Biopsy Marking of Early Neoplasia in Barrett’s Esophagus by Combining WLE and BLI Modalities
Joost van der Putten, Jacques Bergman, Peter H. N. de With, Rogier Wildeboer, Jeroen de Groof, …, Maarten Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter Curvers, Erik Schoon
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  ·  01 Apr 2019  ·  doi:10.1109/ISBI.2019.8759431
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks
F. Ghazvinian Zanjani, A. Panteli, S. Zinger, F. van der Sommen, T. Tan, …, H. A. Marquering, I. Jansen, C. D. Savci-Heijink, D. M. de Bruin, P. H. N. de With
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  ·  01 Apr 2019  ·  doi:10.1109/ISBI.2019.8759571
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks
Jannis van Kersbergen, Farhad Ghazvinian Zanjani, Svitlana Zinger, Fons van der Sommen, Benjamin Balluff, …, Henk A. Marquering, Ilaria Jansen, C. Dilara Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With
Medical Imaging 2019: Digital Pathology  ·  18 Mar 2019  ·  doi:10.1117/12.2512360
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function
Joost van der Putten, Fons van der Sommen, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Jacques J.G.H.M. Bergman, Peter H. N. de With
Medical Imaging 2019: Image Processing  ·  15 Mar 2019  ·  doi:10.1117/12.2512192
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging
Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Joep E. G. IJspeert, Evelien Dekker, Erik J. Schoon, Peter H. N. De With
Medical Imaging 2019: Computer-Aided Diagnosis  ·  13 Mar 2019  ·  doi:10.1117/12.2508223
A novel clinical gland feature for detection of early Barrett s neoplasia using volumetric laser endomicroscopy
A novel clinical gland feature for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy
Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Erik J. Schoon, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With
Medical Imaging 2019: Computer-Aided Diagnosis  ·  13 Mar 2019  ·  doi:10.1117/12.2508244
Sequential compression of gene expression across dimensionalities and methods reveals no single best method or dimensionality
Sequential compression of gene expression across dimensionalities and methods reveals no single best method or dimensionality
Gregory P. Way, Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene
openRxiv  ·  11 Mar 2019  ·  doi:10.1101/573782
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging
Francesca Manni, Fons van der Sommen, Sveta Zinger, Esther Kho, Susan G. Brouwer de Koning, Theo J. M. Ruers, Caifeng Shan, Jean Schleipen, Peter H. N. de With
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling  ·  08 Mar 2019  ·  doi:10.1117/12.2512238
CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications
CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications
Luis A. Zavala-Mondragon, Bishal Lamichhane, Lu Zhang, Gerard de Haan
Journal of Ambient Intelligence and Humanized Computing  ·  28 Feb 2019  ·  doi:10.1007/s12652-019-01259-5
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, …, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Nature Communications  ·  30 Jan 2019  ·  doi:10.1038/s41467-019-08563-w
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett s Esophagus
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. N. de With
Lecture Notes in Computer Science  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-32692-0_20

2018

Why rankings of biomedical image analysis competitions should be interpreted with care
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, …, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Nature Communications  ·  06 Dec 2018  ·  doi:10.1038/s41467-018-07619-7
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning
Sjors Van Riel, Fons Van Der Sommen, Sveta Zinger, Erik J. Schoon, Peter H.N. de With
2018 25th IEEE International Conference on Image Processing (ICIP)  ·  01 Oct 2018  ·  doi:10.1109/ICIP.2018.8451771
Bladder Cancer Segmentation on Multispectral Images
Bladder Cancer Segmentation on Multispectral Images
Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With
Proceedings of the 12th International Conference on Distributed Smart Cameras  ·  03 Sep 2018  ·  doi:10.1145/3243394.3243702
Predictive features for early cancer detection in Barrett s esophagus using Volumetric Laser Endomicroscopy
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy
Fons van der Sommen, Sander R. Klomp, Anne-Fré Swager, Svitlana Zinger, Wouter L. Curvers, Jacques J.G.H.M. Bergman, Erik J. Schoon, Peter H.N. de With
Computerized Medical Imaging and Graphics  ·  01 Jul 2018  ·  doi:10.1016/j.compmedimag.2018.02.007
Tu2011 - The Argos Project: Evaluation of Results of a Clinicallyinspired Algorithm vs. a Deep Learning Algorithm for the Detection and Delineation of Barrett s Neoplasia
Tu2011 - The Argos Project: Evaluation of Results of a Clinicallyinspired Algorithm vs. a Deep Learning Algorithm for the Detection and Delineation of Barrett's Neoplasia
Jeroen de Groof, Joost van der Putten, Fons van der Sommen, S. Zinger, Wouter Curvers, …, Alexander Meining, Horst Neuhaus, Erik. J. Schoon, P.H.N. de With, Jacques Bergman
Gastroenterology  ·  01 May 2018  ·  doi:10.1016/s0016-5085(18)34470-6
Tu1962 - Improved Barrett s Neoplasia Detection Using Computer Assisted Multi-Frame Analysis of Volumetric Laser Endomicroscopy Images
Tu1962 - Improved Barrett's Neoplasia Detection Using Computer Assisted Multi-Frame Analysis of Volumetric Laser Endomicroscopy Images
Maarten R. Struyvenberg, A. Rikos, Fons van der Sommen, P.H.N. de With, S. Zinger, Wouter Curvers, Jacques Bergman
Gastroenterology  ·  01 May 2018  ·  doi:10.1016/s0016-5085(18)33565-0
Novel Developments in Endoscopic Mucosal Imaging
Novel Developments in Endoscopic Mucosal Imaging
Fons van der Sommen, Wouter L. Curvers, Wouter B. Nagengast
Gastroenterology  ·  01 May 2018  ·  doi:10.1053/j.gastro.2018.01.070
Sci-Hub provides access to nearly all scholarly literature
Sci-Hub provides access to nearly all scholarly literature
Daniel S Himmelstein, Ariel Rodriguez Romero, Jacob G Levernier, Thomas Anthony Munro, Stephen Reid McLaughlin, Bastian Greshake Tzovaras, Casey S Greene
eLife  ·  01 Mar 2018  ·  doi:10.7554/eLife.32822
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma
Mathias Prokop, Joost van der Putten, Fons van der Sommen, Svitlana Zinger, John Hermans, Peter H. N. de With
Medical Imaging 2018: Computer-Aided Diagnosis  ·  27 Feb 2018  ·  doi:10.1117/12.2291746
How to Exploit Weaknesses in Biomedical Challenge Design and Organization
How to Exploit Weaknesses in Biomedical Challenge Design and Organization
Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, …, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein
Lecture Notes in Computer Science  ·  01 Jan 2018  ·  doi:10.1007/978-3-030-00937-3_45
Assessment of trainees performance in colonoscopy
Assessment of trainees’ performance in colonoscopy
Felix W. Leung
Gastrointestinal Endoscopy  ·  01 Jan 2018  ·  doi:10.1016/j.gie.2017.06.018

2017

Computer-aided detection of early Barrett s neoplasia using volumetric laser endomicroscopy
Computer-aided detection of early Barrett’s neoplasia using volumetric laser endomicroscopy
Anne-Fré Swager, Fons van der Sommen, Sander R. Klomp, Sveta Zinger, Sybren L. Meijer, Erik J. Schoon, Jacques J.G.H.M. Bergman, Peter H. de With, Wouter L. Curvers
Gastrointestinal Endoscopy  ·  01 Nov 2017  ·  doi:10.1016/j.gie.2017.03.011
Improved Barrett s Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting
A. Rikos, F. van der Sommen, S. Zinger, P. H. N. de With, W.L. Curvers, E.J. Schoon, A. Swager, J.J. Bergman
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)  ·  01 Jun 2017  ·  doi:10.1109/CBMS.2017.31
Evaluation of image features and classification methods for Barrett s cancer detection using VLE imaging
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging
Sander Klomp, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With
SPIE Proceedings  ·  03 Mar 2017  ·  doi:10.1117/12.2253860

2016

Computer-aided detection of early neoplastic lesions in Barrett s esophagus
Computer-aided detection of early neoplastic lesions in Barrett’s esophagus
Fons van der Sommen, Svitlana Zinger, Wouter Curvers, Raf Bisschops, Oliver Pech, Bas Weusten, Jacques Bergman, Peter de With, Erik Schoon
Endoscopy  ·  21 Apr 2016  ·  doi:10.1055/s-0042-105284
Automatic assessment of informative frames in endoscopic video
Automatic assessment of informative frames in endoscopic video
N. C. van Dongen, F. van der Sommen, S. Zinger, E. J. Sekoon, P. H. N. de With
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)  ·  01 Apr 2016  ·  doi:10.1109/isbi.2016.7493225
237 Feasibility of a Computer Algorithm for Detection of Early Barrett s Neoplasia Using Volumetric Laser Endomicroscopy
237 Feasibility of a Computer Algorithm for Detection of Early Barrett's Neoplasia Using Volumetric Laser Endomicroscopy
Anne-Fré Swager, Fons van der Sommen, Sveta Zinger, Sybren L. Meijer, Erik J. Schoon, Jacques Bergman, Peter H. De With, Wouter L. Curvers
Gastroenterology  ·  01 Apr 2016  ·  doi:10.1016/s0016-5085(16)30311-0
Sweet-spot training for early esophageal cancer detection
Sweet-spot training for early esophageal cancer detection
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
SPIE Proceedings  ·  24 Mar 2016  ·  doi:10.1117/12.2208114
Early esophageal cancer detection using RF classifiers
Early esophageal cancer detection using RF classifiers
Markus H. A. Janse, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
SPIE Proceedings  ·  24 Mar 2016  ·  doi:10.1117/12.2208583
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry
Fons van der Sommen, Sveta Zinger, Peter H. N. de With
SPIE Proceedings  ·  18 Mar 2016  ·  doi:10.1117/12.2214450

2015

Real-time semantic context labeling for image understanding
Real-time semantic context labeling for image understanding
Martin A. R. Pieck, Fons van der Sommen, Svitlana Zinger, Peter H. N. de With
2015 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2015  ·  doi:10.1109/icip.2015.7351390

2014

Supportive automatic annotation of early esophageal cancer using local gabor and color features
Supportive automatic annotation of early esophageal cancer using local gabor and color features
F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With
Neurocomputing  ·  01 Nov 2014  ·  doi:10.1016/j.neucom.2014.02.066
805 Computer-Aided Detection of Early Neoplastic Lesions in Barrett s Esophagus: Towards a Supportive Detection System in Endoscopy
805 Computer-Aided Detection of Early Neoplastic Lesions in Barrett's Esophagus: Towards a Supportive Detection System in Endoscopy
Fons van der Sommen, Svitlana Zinger, Peter H. de With, Erik J. Schoon
Gastroenterology  ·  01 May 2014  ·  doi:10.1016/s0016-5085(14)60499-6

2013

Mo1683 Computer-Aided Delineation of Early Neoplasia in Barrett s Esophagus Using High Definition Endoscopic Images
Mo1683 Computer-Aided Delineation of Early Neoplasia in Barrett's Esophagus Using High Definition Endoscopic Images
Erik J. Schoon, Fons Van Der Sommen, Svitlana Zinger, Peter H. De With
Gastrointestinal Endoscopy  ·  01 May 2013  ·  doi:10.1016/j.gie.2013.03.431
Computer-aided detection of early cancer in the esophagus using HD endoscopy images
Computer-aided detection of early cancer in the esophagus using HD endoscopy images
Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
SPIE Proceedings  ·  28 Feb 2013  ·  doi:10.1117/12.2001068
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy
Proceedings of the International Conference on Computer Vision Theory and Applications  ·  01 Jan 2013  ·  doi:10.5220/0004204502380243

Grid of blog posts

2026

Presenting Symmetrical Flow Matching at AAAI 2026
Presenting Symmetrical Flow Matching at AAAI 2026
member portrait Francisco Caetano PhD Student TU Eindhoven
January 25, 2026 March 20, 2026
conference aaai generative-modeling flow-matching

Francisco Caetano presented our work on Symmetrical Flow Matching (SymmFlow) at AAAI 2026.

2023

Innovative technologies make the industry safer and smarter
Innovative technologies make the industry safer and smarter
member portrait Tim Schoonbeek PhD Student TU Eindhoven
February 23, 2023 March 20, 2026
phd-defense industry ar ai

PhD researcher Tim Schoonbeek successfully defended his thesis investigating how AR and AI improve the quality of industrial processes. His research demonstrates how augmented reality combined with artificial intelligence can enhance safety and efficiency in industrial settings.

2021

Example post 2
jane-smith September 30, 2021 March 20, 2026

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

2019

Example post 1
sarah-johnson January 07, 2019 March 20, 2026
biology medicine big-data

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Cols

Text

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a. Tristique magna sit amet purus gravida quis blandit turpis cursus. Ultrices eros in cursus turpis massa tincidunt dui ut ornare. A cras semper auctor neque vitae tempus quam pellentesque nec. At tellus at urna condimentum mattis pellentesque. Ipsum consequat nisl vel pretium. Ultrices mi tempus imperdiet nulla malesuada pellentesque elit eget gravida. Integer vitae justo eget magna fermentum iaculis eu non diam. Mus mauris vitae ultricies leo integer malesuada nunc vel. Leo integer malesuada nunc vel risus. Ornare arcu odio ut sem nulla pharetra. Purus semper eget duis at tellus at urna condimentum. Enim neque volutpat ac tincidunt vitae semper quis lectus.

Images

Fig. 1a
Fig. 1a

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Fig. 1b
Fig. 1b

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Fig. 1c
Fig. 1c

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Code

const test = "Lorem ipsum dolor sit amet";

const test = "Lorem ipsum dolor sit amet";

const test = "Lorem ipsum dolor sit amet";