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2020 – today
- 2021
[j2]Maura Bellio
, Dominic Furniss, Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Annemie Ribbens, Daniel C. Alexander, Ann Blandford:
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease. ACM Trans. Comput. Heal. 2(4): 32:1-32:19 (2021)
2010 – 2019
- 2018
- [c5]Carla Semedo, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, Sébastien Ourselin:
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. MICCAI (3) 2018: 383-391 - 2017
- [e2]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - 2016
- [c4]Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets:
Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. MCV/BAMBI@MICCAI 2016: 208-219 - 2014
- [j1]Annemie Ribbens, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images. IEEE Trans. Medical Imaging 33(2): 201-224 (2014) - [e1]Manuel Jorge Cardoso, Ivor J. A. Simpson, Tal Arbel, Doina Precup, Annemie Ribbens:
Bayesian and grAphical Models for Biomedical Imaging - First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8677, Springer 2014, ISBN 978-3-319-12288-5 [contents] - 2012
- [b1]Annemie Ribbens:
Probabilistic Framework for Population Analysis of Brain MR Images (Probabilistische raamwerk voor populatie analyse van MR hersenbeelden). Katholieke Universiteit Leuven, Belgium, 2012 - 2011
- [c3]Annemie Ribbens, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
Probabilistic framework for subject-specific and population-based analysis of longitudinal changes and disease progression in brain MR images. Image Processing 2011: 796219 - 2010
- [c2]Annemie Ribbens, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
SPARC: unified framework for automatic segmentation, probabilistic atlas construction, registration and clustering of brain MR images. ISBI 2010: 856-859 - [c1]Annemie Ribbens, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information. MCV 2010: 184-194
Coauthor Index
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