Patrick Pessaux

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 7

Top Topics

Ensemble Methods

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Farid Ouhmich, Vincent Agnus, Vincent Noblet, Fabrice Heitz, Patrick Pessaux
Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (8) (2019)
Nadim Aizarani, Antonio Saviano, Sagar, Laurent Mailly, Sarah Durand, Josip S. Herman, Patrick Pessaux, Thomas F. Baumert, Dominic Grün
A human liver cell atlas reveals heterogeneity and epithelial progenitors. Nat. 572 (7768) (2019)
Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwénolé Quellec, Vincent Noblet, Fabrice Heitz
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI (2018)
Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI (2017)
Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. 12 (2) (2017)
Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI (2016)
Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI (2015)