Hans van Gorp
Department / Institute
RESEARCH PROFILE
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.
ACADEMIC BACKGROUND
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.
Recent Publications
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Hans van Gorp,Iris A.M. Huijben,Pedro Fonseca,Ruud J.G. van Sloun,Sebastiaan Overeem,Merel M. van Gilst
Certainty about Uncertainty in Sleep Staging
Sleep (2022) -
Xinyi Wei,Hans van Gorp,Lizeth Gonzalez Carabarin,Daniel Freedman,Yonina C. Eldar,Ruud J.G. van Sloun
Deep Unfolding with Normalizing Flow Priors for Inverse Problems
IEEE Transactions on Signal Processing (2022) -
Lieke W.A. Hermans,Iris A.M. Huijben,Hans van Gorp,Tim R.M. Leufkens,Pedro Fonseca,Sebastiaan Overeem,Merel M. van Gilst
Representations of temporal sleep dynamics
Sleep Medicine Reviews (2022) -
Xinyi Wei,Hans van Gorp,Lizeth Gonzalez Carabarin,Daniel Freedman,Yonina C. Eldar,Ruud J.G. van Sloun
Image Denoising with Deep Unfolding And Normalizing Flows
(2022) -
Hans van Gorp,Iris Huijben,Bastiaan Veeling,Nicola Pezzotti,Ruud J.G. van Sloun
Active Deep Probabilistic Subsampling
(2021)
Current Educational Activities
Ancillary Activities
No ancillary activities