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2020 – today
- 2024
[c5]Jeroen Overdevest
, Xinyi Wei, Hans Van Gorp, Ruud J. G. van Sloun:
Model-Based Diffusion for Mitigating Automotive Radar Interference. ICASSP Workshops 2024: 284-288- [i3]Vidya Prasad, Hans Van Gorp, Christina Humer, Anna Vilanova, Nicola Pezzotti:
The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models. CoRR abs/2406.17462 (2024) - [i2]Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Fokke B. van Meulen, Johannes P. van Dijk, Sebastiaan Overeem, Ruud J. G. van Sloun:
A generative foundation model for five-class sleep staging with arbitrary sensor input. CoRR abs/2408.15253 (2024) - [i1]Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans Van Gorp, Ruud van Sloun, Florian Römer:
Learning Structured Compressed Sensing with Automatic Resource Allocation. CoRR abs/2410.18954 (2024) - 2023
- [j2]Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun:
Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning. IEEE J. Biomed. Health Informatics 27(11): 5599-5609 (2023) - [c4]Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun:
Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows. ICASSP 2023: 1-5 - 2022
- [j1]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 Trans. Signal Process. 70: 2962-2971 (2022) - [c3]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. ICASSP 2022: 1551-1555 - 2021
- [c2]Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun:
Active Deep Probabilistic Subsampling. ICML 2021: 10509-10518
2010 – 2019
- 2019
- [c1]P. P. J. H. Langenhuizen, Hans Van Gorp, Sveta Zinger, Jeroen Verheul, Sieger Leenstra, Peter H. N. de With:
Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma. Computer-Aided Diagnosis 2019: 109504C
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