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Annegreet van Opbroek
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2010 – 2019
- 2019
- [j5]Annegreet van Opbroek, Hakim C. Achterberg, Meike W. Vernooij, Marleen de Bruijne:
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning. IEEE Trans. Medical Imaging 38(1): 213-224 (2019) - 2017
- [i1]Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners. CoRR abs/1703.04981 (2017) - 2016
- [c4]Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Asymmetric similarity-weighted ensembles for image segmentation. ISBI 2016: 273-277 - 2015
- [j4]Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser, Amir Alansary, Marleen de Bruijne, Aaron Carass, Ayman El-Baz, Amod Jog, Ranveer Katyal, Ali R. Khan, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira, Mikael Persson, Martin Rajchl, Duygu Sarikaya, Örjan Smedby, Carlos A. Silva, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever:
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j3]Annegreet van Opbroek, Meike W. Vernooij, Mohammad Arfan Ikram, Marleen de Bruijne:
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. Medical Image Anal. 24(1): 245-254 (2015) - [j2]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. IEEE Trans. Medical Imaging 34(5): 1018-1030 (2015) - [j1]Arna van Engelen, Anouk C. van Dijk, Martine T. B. Truijman, Ronald van't Klooster, Annegreet van Opbroek, Aad van der Lugt, Wiro J. Niessen, M. Eline Kooi, Marleen de Bruijne:
Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning. IEEE Trans. Medical Imaging 34(6): 1294-1305 (2015) - [c3]Annegreet van Opbroek, Hakim C. Achterberg, Marleen de Bruijne:
Feature-Space Transformation Improves Supervised Segmentation Across Scanners. MLMMI@ICML 2015: 85-93 - 2013
- [c2]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. MLMI 2013: 49-56 - 2012
- [c1]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. MLMI 2012: 160-167
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