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Patrick Pessaux
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2010 – 2019
- 2019
- [j3]Farid Ouhmich, Vincent Agnus
, Vincent Noblet, Fabrice Heitz
Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1275-1284 (2019) - [j2]Nadim Aizarani, Antonio Saviano
A human liver cell atlas reveals heterogeneity and epithelial progenitors. Nat. 572(7768): 199-204 (2019) - 2018
- [c4]Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI 2018: 39-47 - 2017
- [j1]Pierre-Henri Conze, Vincent Noblet, François Rousseau
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. 12(2): 223-233 (2017) - [c3]Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI 2017: 490-493 - 2016
- [c2]Pierre-Henri Conze, Vincent Noblet, François Rousseau
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI 2016: 416-419 - 2015
- [c1]Pierre-Henri Conze, François Rousseau
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI 2015: 212-219
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