Hans van Gorp
Department
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 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 (2022) -
Hans van Gorp,Iris Huijben,Bastiaan Veeling,Nicola Pezzotti,Ruud J.G. van Sloun
Active Deep Probabilistic Subsampling
38th International Conference on Machine Learning (ICML 2021) (2021)
Ancillary Activities
No ancillary activities