Annegreet van Opbroek

According to our database, Annegreet van Opbroek authored at least 10 papers between 2012 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning.

Annegreet van Opbroek, Hakim C. Achterberg, Meike W. Vernooij, Marleen de Bruijne

IEEE Trans. Medical Imaging, 2019

2017

Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners.

Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

CoRR, 2017

2016

Asymmetric similarity-weighted ensembles for image segmentation.

Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols.

Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

IEEE Trans. Medical Imaging, 2015

Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning.

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

IEEE Trans. Medical Imaging, 2015

Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

Annegreet van Opbroek, Meike W. Vernooij, Mohammad Arfan Ikram, Marleen de Bruijne

Medical Image Anal., 2015

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.

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

Comput. Intell. Neurosci., 2015

Feature-Space Transformation Improves Supervised Segmentation Across Scanners.

Annegreet van Opbroek, Hakim C. Achterberg, Marleen de Bruijne

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2013

A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity.

Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2012

Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach.

Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012