Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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patents
SYSTEM AND METHOD FOR ESTIMATING SLEEP STAGE
Published:
H. van Gorp, P. Fonseca, M. M. van Gilst, S. Overeem, and R. J. G. van Sloun [link] [pdf]
SYSTEM AND METHOD
Published:
H. van Gorp, P. Fonseca, M. M. van Gilst, S. Overeem, and R. J. G. van Sloun [link] [pdf]
portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Dose distribution as outcome predictor for gamma knife radiosurgery on vestibular schwannoma
Published in Medical Imaging, 2019
P. P. J. H. Langenhuizen, H. van Gorp, S. Zinger, H. B. Verheul, S. Leenstra, and P. H. N. de With, “Dose distribution as outcome predictor for gamma knife radiosurgery on vestibular schwannoma,” in Medical Imaging 2019: Computer-Aided Diagnosis. SPIE, 2019, vol. 10950, pp. 1090–1098. [link] [pdf]
Active deep probabilistic subsampling
Published in ICML, 2021
H. Van Gorp, I. A. M. Huijben, B. S. Veeling, N. Pezzotti, and R. J. G. Van Sloun, “Active deep probabilistic subsampling,” in International Conference on Machine Learning. PMLR, 2021, pp. 10509–10518. [link] [pdf]
Image denoising with deep unfolding and normalizing flows
Published in ICASSP, 2022
X. Wei, H. van Gorp, L. Gonzalez Carabarin, D. Freedman, Y. C. Eldar, and R. J. G. van Sloun, “Image denoising with deep unfolding and normalizing flows,” in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, 2022. [link] [pdf]
Representations of temporal sleep dynamics: Review and msynthesis of the literature
Published in Sleep Medicine Reviews, 2022
L. W. A. Hermans, I. A. M. Huijben, H. van Gorp, T. R. M. Leufkens, P. Fonseca, S. Overeem, and M. M. van Gilst, “Representations of temporal sleep dynamics: Review and msynthesis of the literature,” Sleep Medicine Reviews, vol. 63, pp. 101611, 2022. [link] [pdf]
Deep unfolding with normalizing flow priors for inverse problems
Published in IEEE Transactions on Signal Processing, 2022
X. Wei, H. van Gorp, L. Gonzalez Carabarin, D. Freedman, Y. C. Eldar, and R. J. G. van Sloun, “Deep unfolding with normalizing flow priors for inverse problems,” IEEE Transactions on Signal Processing, vol. 70, pp. 2962–2971, 2022. [link] [pdf]
Certainty about uncertainty in sleep staging: a theoretical framework
Published in Sleep, 2022
H. van Gorp, I. A. M. Huijben, P. Fonseca, R. J. G. van Sloun, S. Overeem, and M. M. van Gilst, “Certainty about uncertainty in sleep staging: a theoretical framework,” Sleep, vol. 45, no. 8, June 2022. [link] [pdf]
Aleatoric uncertainty estimation of overnight sleep statistics through posterior sampling using conditional normalizing flows
Published in ICASSP, 2023
H. van Gorp, M. M. van Gilst, P. Fonseca, S. Overeem, and R. J. G. van Sloun, “Aleatoric uncertainty estimation of overnight sleep statistics through posterior sampling using conditional normalizing flows,” in 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, 2023. [link] [pdf]
Modeling the impact of inter-rater disagreement on sleep statistics using deep generative learning
Published in IEEE Journal of Biomedical and Health Informatics, 2023
H. van Gorp, M. M. van Gilst, P. Fonseca, S. Overeem, and R. J. G. van Sloun, “Modeling the impact of inter-rater disagreement on sleep statistics using deep generative learning,” IEEE Journal of Biomedical and Health Informatics, 2023. [link] [pdf]
Studying Sleep: Towards the Identification of Hypnogram Features that Drive Expert Interpretation
Published in Sleep, 2023
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, “Studying Sleep: Towards the Identification of Hypnogram Features that Drive Expert Interpretation,” Sleep, December 2023. [link] [pdf]
Model-Based Diffusion for Mitigating Automotive Radar Interference
Published in ICASSP, 2024
Jeroen Overdevest, Xinyi Wei, Hans van Gorp, and Ruud J G van Sloun, “Model-Based Diffusion for Mitigating Automotive Radar Interference,” in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, 2024. [link] [pdf]
Single-channel EOG sleep staging on a heterogeneous cohort of subjects with sleep disorders
Published in Physiological Measurement, 2024
Hans van Gorp, Merel M van Gilst, Sebastiaan Overeem, Sylvie Dujardin, Angelique Pijpers, Bregje van Wetten, Pedro Fonseca and Ruud J G van Sloun, “Single-channel EOG sleep staging on a heterogeneous cohort of subjects with sleep disorders,” Physiological Measurement, May 2024. [link] [pdf]
The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
Published in arXiv preprint, 2024
Vidya Prasad, Hans van Gorp, Christina Humer, Anna Vilanova, and Nicola Pezzotti, “The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models,” arXiv preprint, June 2024. [link] [pdf]
Hypnogram and Hypnodensity Analysis of REM Sleep Behaviour Disorder Using Both EEG and HRV-Based Sleep Staging Models
Published in Journal of Sleep Research, 2025
Jaap F. van der Aar, Merel M. van Gilst, Daan A. van den Ende, Hans van Gorp, Peter Anderer, Angelique Pijpers, Pedro Fonseca, Elisabetta Peri, Sebastiaan Overeem, “Hypnogram and Hypnodensity Analysis of REM Sleep Behaviour Disorder Using Both EEG and HRV-Based Sleep Staging Models”, Journal of Sleep Research, March 2025. [link] [pdf]
Learning Structured Compressed Sensing with Automatic Resource Allocation
Published in ICASSP, 2025
Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans van Gorp, Ruud van Sloun, and Florian Römer, “Learning Structured Compressed Sensing with Automatic Resource Allocation,” in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, 2025. [link] [pdf]
Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
Published in ICASSP, 2025
Simon W Penninga, Hans van Gorp, and Ruud J G van Sloun, “Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging,” in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, 2025. [link] [pdf]
Removing Structured Noise using Diffusion Models
Published in Transactions on Machine Learning Research (TMLR), 2025
Tristan S.W. Stevens, Hans van Gorp, Faik C. Meral, Junseob Shin, Jason Yu, Jean-Luc Robert and Ruud J.G. van Sloun, “Removing Structured Noise using Diffusion Models,” Transactions on Machine Learning Research (TMLR), March 2025. [link] [pdf]
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
Published in IEEE Journal of Biomedical and Health Informatics, 2025
Hans van Gorp, Merel M van Gilst, Pedro Fonseca, Fokke B van Meulen, Johannes P van Dijk, Sebastiaan Overeem, and Ruud J G van Sloun, “A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input,” IEEE Journal of Biomedical and Health Informatics, Early Access 2025. [link] [pdf]
SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection
Published in IEEE Journal of Biomedical and Health Informatics, 2025
Sonlgu Lin, Zhihong Wang, Hans van Gorp, Mengzhu Xu, Merel M van Gilst, Sebastiaan Overeem, Jean-Paul Linnartz, Pedro Fonseca, Xi Long, “SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection,” IEEE Journal of Biomedical and Health Informatics, Early Access 2025. [link] [pdf]
Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
Published in ICML Workshop on Machine Learning for Wireless Communication and Networks, 2025
Hans van Gorp, Davide Belli, Amir Jalalirad, Bence Major, “Neural Augmented Kalman Filters for Road Network assisted GNSS positioning,” ICML Workshop on Machine Learning for Wireless Communication and Networks, June 2025. [link] [pdf]
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.