A survey of crowdsourcing in medical image analysis S Ørting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ... arXiv preprint arXiv:1902.09159, 2019 | 79 | 2019 |
GenNet framework: interpretable deep learning for predicting phenotypes from genetic data A van Hilten, SA Kushner, M Kayser, M Arfan Ikram, HHH Adams, ... Communications Biology 4 (1), 1-9, 2021 | 46* | 2021 |
Detecting genetic interactions with visible neural networks A van Hilten, F Melograna, B Fan, WJ Niessen, K van Steen, ... bioRxiv, 2024.02. 27.582086, 2024 | 1 | 2024 |
Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data A van Hilten, J van Rooij, BIOS consortium, MA Ikram, WJ Niessen, ... bioRxiv, 2023.04. 16.537073, 2023 | 1 | 2023 |
An atlas of genetic regulation and disease associations of microRNAs R Mustafa, MMJ Mens, A van Hilten, J Huang, G Roshchupkin, T Huan, ... medRxiv, 2022.11. 10.22282180, 2022 | 1 | 2022 |
Biologically interpretable neural networks for phenotype prediction using population-cohort multi-omics data A van Hilten, JGJ Rooij, WJ Niessen, JBJ van Meurs, GV Roshchupkin EUROPEAN JOURNAL OF HUMAN GENETICS 30 (SUPPL 1), 493-494, 2022 | | 2022 |
A Survey of Crowdsourcing in Medical Image Analysis A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, DP Mavridis, H Spiers, ... Human Computation 7 (1), 2020 | | 2020 |
T88INTERPRETABLE NEURAL NETWORKS FOR SCHIZOPHRENIA RISK PREDICTION BASED ON WHOLE EXOME SEQUENCING DATA A van Hilten, S Kushner, W Niessen, G Roshchupkin European Neuropsychopharmacology 29, S263, 2019 | | 2019 |
Segmenting and Detecting Carotid Plaque Components in MRI A van Hilten | | 2018 |
Gut Microbiome Profile is Associated with Host Metabolic Health Across a Life Course R Li, A Kurilshikov, S Yang, JAE van Oortmerssen, A van Hilten, ... | | |