Hans van Gorp is a doctoral candidate in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). He works on generative modeling, classification, and uncertainty analysis in sleep, with a special focus on interpretability and clinical relevance. This work is done in the Biomedical Diagnostics (BM/d) research laboratory in collaboration with Philips research and Kempenhaeghe.
We have to be certain about uncertainty.
Hans van Gorp has a background in Electrical Engineering (EE), receiving both his master’s and his bachelor’s degree in the subject at the TU/e. He has always had in interest in the interface between signal processing, machine learning, and clinical applications, writing his master thesis on active acquisition for MRI and now as a doctoral candidate in the Biomedical Diagnostics (BM/d) Research Laboratory.
Certainty about Uncertainty in Sleep StagingSleep (2022)
Deep Unfolding with Normalizing Flow Priors for Inverse ProblemsIEEE Transactions on Signal Processing (2022)
Representations of temporal sleep dynamicsSleep Medicine Reviews (2022)
Image Denoising with Deep Unfolding And Normalizing Flows2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 (2022)
Active Deep Probabilistic Subsampling38th International Conference on Machine Learning (ICML 2021) (2021)
No ancillary activities