| 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 | 88 | 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 | 65* | 2021 |
| Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data A van Hilten, J van Rooij, MA Ikram, WJ Niessen, JBJ van Meurs, ... NPJ systems biology and applications 10 (1), 81, 2024 | 4 | 2024 |
| 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 | 3* | 2022 |
| A comprehensive study of genetic regulation and disease associations of plasma circulatory microRNAs using population-level data R Mustafa, MMJ Mens, A van Hilten, J Huang, G Roshchupkin, T Huan, ... Genome Biology 25 (1), 276, 2024 | 1 | 2024 |
| Designing interpretable deep learning applications for functional genomics: a quantitative analysis A van Hilten, S Katz, E Saccenti, WJ Niessen, GV Roshchupkin Briefings in Bioinformatics 25 (5), bbae449, 2024 | 1 | 2024 |
| Detecting genetic interactions with visible neural networks A van Hilten, F Melograna, B Fan, W Niessen, K Van Steen, ... bioRxiv, 2024.02. 27.582086, 2024 | 1 | 2024 |
| Association between gut microbiome profiles and host metabolic health across the life course: a population-based study R Li, A Kurilshikov, S Yang, JAE van Oortmerssen, A van Hilten, ... The Lancet Regional Health–Europe 50, 2025 | | 2025 |
| 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 Delft University of Technology, 2018 | | 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, ... | | |
Gennady V RoshchupkinErasmus MC確認したメール アドレス: erasmusmc.nl