Personal information

Netherlands

Biography

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.

Activities

Employment (1)

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2020-10-17 to present | PhD student (Department of Electrical Engineering)
Employment
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Hans van Gorp

Education and qualifications (2)

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2018-09-01 to 2020-09-01 | MSc (Department of Electrical Engineering)
Education
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Hans van Gorp

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2015-09-01 to 2018-09-01 | BSc (Department of Electrical Engineering)
Education
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Hans van Gorp

Works (14)

A generative foundation model for five-class sleep staging with arbitrary sensor input

2024 | Preprint
Contributors: Hans van Gorp; Merel M. van Gilst; Pedro Fonseca; Fokke B. van Meulen; Johannes P. van Dijk; Sebastiaan Overeem; Ruud J. G. van Sloun
Source: Self-asserted source
Hans van Gorp

The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

2024 | Preprint
Contributors: Vidya Prasad; Hans van Gorp; Christina Humer; Anna Vilanova; Nicola Pezzotti
Source: Self-asserted source
Hans van Gorp

Single-channel EOG sleep staging on a heterogeneous cohort of subjects with sleep disorders

Physiological Measurement
2024-05-01 | Journal article
SOURCE-WORK-ID:

333c9322-1747-4dcf-ae37-82dc3ca92961

EID:

2-s2.0-85193309200

Contributors: Hans van Gorp; Merel van Gilst; Sebastiaan Overeem; Sylvie Dujardin; Angelique Pijpers; Bregje van Wetten; Pedro Fonseca; Ruud JG van Sloun
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Pure TUe
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Model-Based Diffusion for Mitigating Automotive Radar Interference

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
2024-04-14 | Conference paper
Contributors: J. Overdevest; X. Wei; H. van Gorp; R. J. G. van Sloun
Source: Self-asserted source
Hans van Gorp

Studying sleep: towards the identification of hypnogram features that drive expert interpretation

SLEEP
2024-03-11 | Journal article
Contributors: Caspar van der Woerd; Hans van Gorp; Sylvie Dujardin; Manuel Sastry; Humberto Garcia Caballero; Fokke van Meulen; Stef van den Elzen; Sebastiaan Overeem; Pedro Fonseca
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Removing Structured Noise with Diffusion Models

2023 | Preprint
Contributors: Tristan S. W. Stevens; Hans van Gorp; Faik C. Meral; Junseob Shin; Jason Yu; Jean-Luc Robert; Ruud J. G. van Sloun
Source: Self-asserted source
Hans van Gorp

Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics using Deep Generative Learning

IEEE Journal of Biomedical and Health Informatics
2023-11 | Journal article
SOURCE-WORK-ID:

46a985aa-70ff-4732-aa36-991ace3d047a

EID:

2-s2.0-85167820446

Contributors: Hans van Gorp; Merel van Gilst; Pedro Fonseca; Sebastiaan Overeem; Ruud JG van Sloun
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Pure TUe
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Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows

ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2023-05-05 | Conference paper | Author
SOURCE-WORK-ID:

f0fd14f6-2071-4df6-a99a-c35416820d51

EID:

2-s2.0-85180597705

Part of ISBN: 978-1-7281-6327-7
Part of ISBN: 978-1-7281-6328-4
Contributors: Hans van Gorp; Merel van Gilst; Pedro Fonseca; Sebastiaan Overeem; Ruud JG van Sloun
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Pure TUe

Certainty about Uncertainty in Sleep Staging

Sleep
2022-08-11 | Journal article
SOURCE-WORK-ID:

47da3db0-6331-425a-a52b-25298831c83f

EID:

2-s2.0-85136305030

Contributors: Hans van Gorp; Iris Huijben; Pedro Fonseca; Ruud JG van Sloun; Sebastiaan Overeem; Merel van Gilst
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Pure TUe
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Representations of temporal sleep dynamics: Review and synthesis of the literature

Sleep Medicine Reviews
2022-06 | Journal article
Part of ISSN: 1087-0792
Source: Self-asserted source
Hans van Gorp
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Deep Unfolding with Normalizing Flow Priors for Inverse Problems

IEEE Transactions on Signal Processing
2022-06-03 | Journal article | Author
SOURCE-WORK-ID:

9aff567a-a4dc-434b-a8ff-417ed770b9db

EID:

2-s2.0-85131741093

Contributors: Xinyi Wei; Hans van Gorp; LIZETH GONZALEZ CARABARIN; Daniel Freedman; Yonina C. Eldar; Ruud JG van Sloun
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Image Denoising with Deep Unfolding And Normalizing Flows

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2022-05-23 | Conference paper
Source: Self-asserted source
Hans van Gorp
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Active Deep Probabilistic Subsampling

Proceedings of the 38th International Conference on Machine Learning
2021 | Conference paper
URI:

https://proceedings.mlr.press/v139/van-gorp21a.html

Source: Self-asserted source
Hans van Gorp

Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma

Medical Imaging 2019: Computer-Aided Diagnosis
2019-03-13 | Conference paper | Author
SOURCE-WORK-ID:

38e24d66-909d-47b5-9c46-135611582357

EID:

2-s2.0-85068131642

WOSUID:

000491309500147

Part of ISBN: 9781510625471
Contributors: Patrick Langenhuizen; Hans van Gorp; Svitlana Zinger; H.B. Verheul; Sieger Leenstra; Peter H.N. de With
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Pure TUe

Peer review (2 reviews for 1 publication/grant)

Review activity for Computers in biology and medicine. (2)