| Multi-task attention-based semi-supervised learning for medical image segmentation S Chen, G Bortsova, A García-Uceda Juárez, G Van Tulder, M De Bruijne Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 160 | 2019 |
| An end-to-end approach to segmentation in medical images with CNN and posterior-CRF S Chen, ZS Gamechi, F Dubost, G van Tulder, M de Bruijne Medical image analysis 76, 102311, 2022 | 27 | 2022 |
| FINITE‐ELEMENT MODELING OF 3D MCSEM IN ARBITRARILY ANISOTROPIC MEDIUM USING POTENTIALS ON UNSTRUCTURED GRIDS C Han‐Bo, LI Tong‐Lin, X Bin, C Shuai, LIU Yong‐Liang Chinese Journal of Geophysics 60 (6), 698-709, 2017 | 17 | 2017 |
| An end-to-end approach to semantic segmentation with 3D CNN and posterior-CRF in medical images S Chen, M de Bruijne arXiv preprint arXiv:1811.03549, 2018 | 13 | 2018 |
| Region-of-interest guided supervoxel inpainting for self-supervision S Kayal, S Chen, M de Bruijne Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
| 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 | 6 | 2024 |
| Label refinement network from synthetic error augmentation for medical image segmentation S Chen, A Garcia-Uceda, J Su, G van Tulder, L Wolff, T van Walsum, ... arXiv preprint arXiv:2209.06353, 2022 | 2 | 2022 |
| An End-to-end Approach with CNN and Posterior-CRF in White Matter Hyperintensities Segmentation MBS Chen, M de Bruijne | 1 | 2019 |
| Source Identification: A Self-Supervision Task for Dense Prediction S Chen, S Kayal, M de Bruijne arXiv preprint arXiv:2307.02238, 2023 | | 2023 |
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenVerified email at diku.dk
