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Annemie Ribbens
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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. Medical Imaging: 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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