ARIA Lab Architectures for Reliable Image Analysis

Christiaan Viviers is a computer vision researcher and engineer specializing in machine learning and deep learning for image analysis. He holds a PhD degree in electrical engineering from Eindhoven University of Technology and currently conducts research at TU/e, where he focuses on reliable and robust architectures for medical and vision-based systems. His work spans generative models, uncertainty quantification, out-of-distribution detection, and clinical imaging applications with deep technical insights into both theoretical and practical challenges in AI-driven diagnostics and imaging processing.

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