| Transfer learning improves supervised image segmentation across imaging protocols A Van Opbroek, MA Ikram, MW Vernooij, M De Bruijne IEEE transactions on medical imaging 34 (5), 1018-1030, 2014 | 284 | 2014 |
| MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ... Computational intelligence and neuroscience 2015, 2015 | 276 | 2015 |
| Transfer learning for image segmentation by combining image weighting and kernel learning A Van Opbroek, HC Achterberg, MW Vernooij, M De Bruijne IEEE transactions on medical imaging 38 (1), 213-224, 2018 | 99 | 2018 |
| Automated brain-tissue segmentation by multi-feature SVM classification A van Opbroek, F van der Lijn, M de Bruijne Proceedings of the MICCAI Workshops—The MICCAI Grand Challenge on MR Brain …, 2013 | 41 | 2013 |
| Multi-center MRI carotid plaque component segmentation using feature normalization and transfer learning A Van Engelen, AC Van Dijk, MTB Truijman, R van't Klooster, ... IEEE transactions on medical imaging 34 (6), 1294-1305, 2014 | 39 | 2014 |
| Weighting training images by maximizing distribution similarity for supervised segmentation across scanners A van Opbroek, MW Vernooij, MA Ikram, M de Bruijne Medical image analysis 24 (1), 245-254, 2015 | 33 | 2015 |
| A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity A van Opbroek, MA Ikram, MW Vernooij, M de Bruijne International Workshop on Machine Learning in Medical Imaging, 49-56, 2013 | 18 | 2013 |
| Supervised image segmentation across scanner protocols: A transfer learning approach A van Opbroek, MA Ikram, MW Vernooij, M de Bruijne International Workshop on Machine Learning in Medical Imaging, 160-167, 2012 | 17 | 2012 |
| Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners A van Opbroek, HC Achterberg, MW Vernooij, MA Ikram, M de Bruijne, ... NeuroImage: Clinical 20, 466-475, 2018 | 12 | 2018 |
| Aortic stiffness and brain integrity in elderly patients with cognitive and functional complaints L Tap, A Van Opbroek, WJ Niessen, M Smits, FUS Mattace-Raso Clinical Interventions in Aging, 2161-2167, 2018 | 11 | 2018 |
| Maritime detection framework 2.0: a new approach of maritime target detection in electro-optical sensors N van der Stap, A van Opbroek, W Huizinga, M Wilmer, B van den Broek, ... Electro-Optical and Infrared Systems: Technology and Applications XV 10795 …, 2018 | 9 | 2018 |
| Asymmetric similarity-weighted ensembles for image segmentation V Cheplygina, A van Opbroek, MA Ikram, MW Vernooij, M de Bruijne 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 273-277, 2016 | 9 | 2016 |
| Feature-Space Transformation Improves Supervised Segmentation Across Scanners A van Opbroek, HC Achterberg, M de Bruijne Machine Learning Meets Medical Imaging, 85-93, 2015 | 9 | 2015 |
| Spatiotemporal detection of maritime targets using neural networks RHR Pruim, A Van Opbroek, M Kruithof, RJM Den Hollander, J Baan, ... Artificial Intelligence and Machine Learning in Defense Applications 11169 …, 2019 | 5 | 2019 |
| Evaluation of detection and tracking performance in imaging systems W Huizinga, A Van Opbroek, RHR Pruim, RJM den Hollander, ... Optical Engineering 58 (7), 073103-073103, 2019 | 3 | 2019 |
| Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners V Cheplygina, A van Opbroek, MA Ikram, MW Vernooij, M de Bruijne arXiv preprint arXiv:1703.04981, 2017 | 2 | 2017 |
| P25 VASCULAR AGING IS ASSOCIATED WITH THE SEVERITY OF CEREBRAL WHITE MATTER LESION LOAD L Tap, A van Opbroek, W Niessen, M Smits, F Mattace-Raso Artery Research 20, 100-101, 2017 | 1 | 2017 |
| Transfer Learning for Medical Image Segmentation A van Opbroek | | 2018 |
| MRBrainS challenge AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, W Bouvy, J de Bresser, ... Computational Intelligence and Neuroscience, 2015 | | 2015 |
| Plumes in kinetic transport: how the simple random walk can be too simple M Dekking, D Kong, A Van Opbroek Stochastic Models 28 (4), 635-648, 2012 | | 2012 |
