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IEEE Transactions on Medical Imaging|May 29, 2026
Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computationsMaxime Di Folco, Gabriel Bernardino, Patrick Clarysse, et al.
IEEE Transactions on Medical Imaging|March 3, 2025
Hierarchical Data Integration With Gaussian Processes: Application to the Characterization of Cardiac Ischemia-Reperfusion PatternsBenoit Freiche, Gabriel Bernardino, Romain Deleat-Besson, et al.
Frontiers in Cardiovascular Medicine|January 31, 2020
Machine Learning Approaches for Myocardial Motion and Deformation AnalysisNicolas Duchateau, Andrew P King, Mathieu De Craene
IEEE Transactions on Medical Imaging|June 15, 2017
Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy CasesNicolas Duchateau, Maxime Sermesant, Herve Delingette, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial PropagationQiao Zheng, Herve Delingette, Nicolas Duchateau, et al.
IEEE Transactions on Medical Imaging|May 9, 2022
Echocardiography Segmentation With Enforced Temporal ConsistencyNathan Painchaud, Nicolas Duchateau, Olivier Bernard, et al.
The Annals of Thoracic Surgery|April 23, 2017
Salvage Operation in Case of Oligometastatic DiseaseNicolas Duchateau, Erik Van Bouwel, Paul E Van Schil
The Canadian Journal of Cardiology|September 13, 2018
Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of FallotPamela Moceri, Maxime Sermesant, Delphine Baudouy, et al.
Medical Image Analysis|August 22, 2012
Constrained manifold learning for the characterization of pathological deviations from normalityNicolas Duchateau, Mathieu De Craene, Gemma Piella, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Characterizing pathological deviations from normality using constrained manifold-learningNicolas Duchateau, Mathieu De Craene, Gemma Piella, et al.
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