| BioVenn–a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams T Hulsen, J de Vlieg, W Alkema BMC genomics 9, 1-6, 2008 | 1583 | 2008 |
| From big data to precision medicine T Hulsen, SS Jamuar, AR Moody, JH Karnes, O Varga, S Hedensted, ... Frontiers in medicine 6, 34, 2019 | 386 | 2019 |
| Benchmarking ortholog identification methods using functional genomics data T Hulsen, MA Huynen, J de Vlieg, PMA Groenen Genome biology 7, 1-12, 2006 | 206 | 2006 |
| Identification of novel functional TBP‐binding sites and general factor repertoires S Denissov, M Van Driel, R Voit, M Hekkelman, T Hulsen, N Hernandez, ... The EMBO journal 26 (4), 944-954, 2007 | 140 | 2007 |
| Sharing is caring - data sharing initiatives in healthcare T Hulsen International journal of environmental research and public health 17 (9), 3046, 2020 | 110 | 2020 |
| Semantics in active surveillance for men with localized prostate cancer—results of a modified Delphi consensus procedure SM Bruinsma, MJ Roobol, PR Carroll, L Klotz, T Pickles, CM Moore, ... Nature reviews urology 14 (5), 312-322, 2017 | 108 | 2017 |
| Reasons for discontinuing active surveillance: assessment of 21 centres in 12 countries in the Movember GAP3 Consortium M Van Hemelrijck, X Ji, J Helleman, MJ Roobol, W van der Linden, ... European urology 75 (3), 523-531, 2019 | 75* | 2019 |
| Heavier-than-air flying machines are impossible L Oliveira, T Hulsen, DL Hulsik, ACM Paiva, G Vriend FEBS letters 564 (3), 269-273, 2004 | 66 | 2004 |
| The Movember Foundation's GAP3 cohort: a profile of the largest global prostate cancer active surveillance database to date SM Bruinsma, L Zhang, MJ Roobol, CH Bangma, EW Steyerberg, ... BJU international 121 (5), 737-744, 2018 | 65 | 2018 |
| Explainable Artificial Intelligence (XAI): Concepts and challenges in healthcare T Hulsen AI 4 (3), 652-666, 2023 | 31 | 2023 |
| Adherence to active surveillance protocols for low-risk prostate cancer: results of the Movember foundation’s global action plan prostate cancer active surveillance initiative AA Kalapara, JFM Verbeek, D Nieboer, M Fahey, V Gnanapragasam, ... European urology oncology 3 (1), 80-91, 2020 | 28* | 2020 |
| PhyloPat: phylogenetic pattern analysis of eukaryotic genes T Hulsen, J de Vlieg, PMA Groenen BMC bioinformatics 7 (1), 398, 2006 | 28 | 2006 |
| Testing statistical significance scores of sequence comparison methods with structure similarity T Hulsen, J de Vlieg, JAM Leunissen, PMA Groenen BMC bioinformatics 7, 1-13, 2006 | 24 | 2006 |
| DeepVenn - a web application for the creation of area-proportional Venn diagrams using the deep learning framework Tensorflow.js T Hulsen arXiv, 2022 | 21 | 2022 |
| Literature analysis of artificial intelligence in biomedicine T Hulsen Annals of Translational Medicine 10 (23), 2022 | 20 | 2022 |
| Predicting biopsy outcomes during active surveillance for prostate cancer: external validation of the canary prostate active surveillance study risk calculators in five large … FJH Drost, D Nieboer, TM Morgan, PR Carroll, MJ Roobol, B Trock, ... European urology 76 (5), 693-702, 2019 | 20 | 2019 |
| Evolution of closely linked gene pairs in vertebrate genomes E Franck, T Hulsen, MA Huynen, WW de Jong, NH Lubsen, O Madsen Molecular biology and evolution 25 (9), 1909-1921, 2008 | 19 | 2008 |
| An overview of publicly available patient-centered prostate cancer datasets T Hulsen Translational andrology and urology 8 (Suppl 1), S64, 2019 | 18 | 2019 |
| BioVenn–an R and Python package for the comparison and visualization of biological lists using area-proportional Venn diagrams T Hulsen Data Science, 1-11, 2021 | 17 | 2021 |
| Challenges and solutions for big data in personalized healthcare T Hulsen Big Data in Psychiatry & Neurology, 69-94, 2021 | 17 | 2021 |
Wynand AlkemaVerified email at pl.hanze.nl
