| Automated lesion detection by regressing intensity-based distance with a neural network KMH van Wijnen, F Dubost, P Yilmaz, MA Ikram, WJ Niessen, H Adams, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 24 | 2019 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Determinants of perivascular spaces in the general population: a pooled cohort analysis of individual participant data TE Evans, MJ Knol, P Schwingenschuh, K Wittfeld, S Hilal, MA Ikram, ... Neurology 100 (2), e107-e122, 2023 | 14 | 2023 |
| Where is VALDO? VAscular lesions detection and segmentation challenge at MICCAI 2021 CH Sudre, K Van Wijnen, F Dubost, H Adams, D Atkinson, F Barkhof, ... Medical Image Analysis 91, 103029, 2024 | 7 | 2024 |
| When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans O Werner, KMH van Wijnen, WJ Niessen, M de Groot, MW Vernooij, ... arXiv preprint arXiv:2004.05578, 2020 | | 2020 |
| Detecting Perivascular Spaces: a Geodesic Deep Learning Approach K van Wijnen | | 2018 |
Florian DubostPostdoctoral Researcher, Stanford UniversityVerified email at stanford.edu
