A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (MICCAI (2), 2003)

A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (ECCV (3), 2004)

3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (IEEE Trans. Image Process., 2005)

Retrospective evaluation of a topology preserving non-rigid registration method. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (Medical Image Anal., 2006)

Segmentation of head bones in 3-D CT images from an example. - Sylvain Faisan; Nicolas Passat; Vincent Noblet; Renée Chabrier; Jean-Paul Armspach; Christophe Meyer (ISBI, 2008)

Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation. - Sylvain Faisan; Nicolas Passat; Vincent Noblet; Renée Chabrier; Christophe Meyer (MICCAI (1), 2008)

Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (MICCAI (2), 2008)

Accurate Inversion of 3-D Transformation Fields. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (IEEE Trans. Image Process., 2008)

Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. - Hervé Boisgontier; Vincent Noblet; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (ISBI, 2009)

Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. - Hervé Boisgontier; Vincent Noblet; Félix Renard; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (MICCAI (1), 2009)

Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. - Swati Sharma; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (MICCAI (1), 2009)

Comparison of interpolation methods for angular resampling of diffusion weighted images. - Félix Renard; Vincent Noblet; Antoine Grigis; Christian Heinrich; Stéphane Kremer (IPTA, 2010)

Reorientation strategies for high order tensors. - Félix Renard; Vincent Noblet; Christian Heinrich; Stéphane Kremer (ISBI, 2010)

Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. - Antoine Grigis; Vincent Noblet; Félix Renard; Fabrice Heitz; Jean-Paul Armspach; Lucien Rumbach (MICCAI (2), 2010)

Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. - Swati Sharma; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (Medical Image Anal., 2010)

A new high order tensor decomposition: Application to reorientation. - Antoine Grigis; Félix Renard; Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (ISBI, 2011)

Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Jean-Paul Armspach (MICCAI (2), 2011)

Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings. - Sylvain Faisan; Nicolas Passat; Vincent Noblet; Renée Chabrier; Christophe Meyer (IEEE Trans. Image Process., 2011)

Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images. - Najla Gribaa; Vincent Noblet; Nawrès Khalifa; Sylvain Faisan; Kamel Hamrouni (Int. J. Image Graph., 2012)

Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. - Hervé Boisgontier; Vincent Noblet; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (Medical Image Anal., 2012)

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. - Antoine Grigis; Vincent Noblet; Fabrice Heitz; Frédéric Blanc 002; Jérôme de Seze; Stéphane Kremer; Lucien Rumbach; Jean-Paul Armspach (NeuroImage, 2012)

An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (Pattern Recognit. Lett., 2012)

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Stéphane Kremer; Jean-Paul Armspach (Medical Image Anal., 2013)

General linear models for group studies in diffusion tensor imaging. - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (ISBI, 2014)

Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (MICCAI (1), 2015)

Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. - Pierre-Henri Conze; François Rousseau 002; Vincent Noblet; Fabrice Heitz; Riccardo Memeo; Patrick Pessaux (MLMI, 2015)

Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. - Pierre-Henri Conze; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Riccardo Memeo; Patrick Pessaux (ISBI, 2016)

Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (NeuroImage, 2016)

Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. - Pierre-Henri Conze; Florian Tilquin; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Patrick Pessaux (ISBI, 2017)

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. - Pierre-Henri Conze; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Vito de Blasi; Riccardo Memeo; Patrick Pessaux (Int. J. Comput. Assist. Radiol. Surg., 2017)

Derivative Half Gaussian Kernels and Shock Filter. - Baptiste Magnier; Vincent Noblet; Adrien Voisin; Dylan Legouestre (ACIVS, 2018)

Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. - Florian Tilquin; Pierre-Henri Conze; Patrick Pessaux; Mathieu Lamard; Gwenolé Quellec; Vincent Noblet; Fabrice Heitz (Patch-MI@MICCAI, 2018)

Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network. - Odelin Charron; Alex Lallement; Delphine Jarnet; Vincent Noblet; Jean-Baptiste Clavier; Philippe Meyer (Comput. Biol. Medicine, 2018)

Survey on deep learning for radiotherapy. - Philippe Meyer; Vincent Noblet; Christophe Mazzara; Alex Lallement (Comput. Biol. Medicine, 2018)

Anomaly Detection in Single Subject vs Group Using Manifold Learning. - Florian Tilquin; Sylvain Faisan; Fabrice Heitz; Vincent Noblet; Frédéric Blanc 002; Izzie Namer (ICASSP, 2019)

Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. - Hugo Touvron; Sylvain Faisan; Florian Tilquin; Vincent Noblet (ISBI, 2019)

Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. - Farid Ouhmich; Vincent Agnus; Vincent Noblet; Fabrice Heitz; Patrick Pessaux (Int. J. Comput. Assist. Radiol. Surg., 2019)

Joint Registration and Change Detection in Longitudinal Brain MRI. - Eléonore Dufresne; Denis Fortun; Babloo Kumar; Stéphane Kremer; Vincent Noblet (ISBI, 2020)

A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps. - Tristan Deruelle; Frank Kober; Adriana Perles-Barbacaru; Thierry Delzescaux; Vincent Noblet; Emmanuel Luc Barbier; Michel Dojat (Frontiers Neuroinformatics, 2020)

Analyse de la connectivité fonctionnelle cérébrale de modèles murins par extraction de motifs fréquents dans des graphes. - Aurélie Leborgne; Florence Le Ber; Laetitia Degiorgis; Jules Massart; Laura Harsan; Stella Marc-Zwecker; Vincent Noblet (EGC, 2021)

Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. - Adrien Heitz; Julien Weinzorn; Vincent Noblet; Benoît Naegel; Arnaud Charnoz; Fabrice Heitz; Luc Soler (ISBI, 2021)

Analysis Of Brain Functional Connectivity By Frequent Pattern Mining In Graphs. Application To The Characterization Of Murine Models. - Aurélie Leborgne; Florence Le Ber; Laetitia Degiorgis; Laura Harsan; Stella Marc-Zwecker; Vincent Noblet (ISBI, 2021)

Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Dimitris Visvikis; Pierre-Henri Conze (ICIP, 2022)

Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images. - Andjela Dimitrijevic; Vincent Noblet; Benjamin De Leener (WBIR, 2022)

Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2023)

Deep Vessel Segmentation with Joint Multi-Prior Encoding. - Amine Sadikine; Bogdan Badic; Enzo Ferrante; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2024)

Improving abdominal image segmentation with overcomplete shape priors. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (Comput. Medical Imaging Graph., 2024)

Controllability of Functional and Structural Brain Networks. - Ali Moradi Amani; Amirhessam Tahmassebi; Andreas Stadlbauer; Uwe Meyer-Baese; Vincent Noblet; Frederic Blanc; Hagen Malberg; Anke Meyer-Baese (Complex., 2024)

Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches. - Andjela Dimitrijevic; Vincent Noblet; Benjamin De Leener (CoRR, 2024)

Bridging the Gap Between Conventional and CNN-Based Registration: Application to Mouse Brain Morphometry. - Franck Valentini; Alex Lallement; Jean-Christophe Deloulme; Vincent Noblet (ISBI, 2025)

Machine-Learning Algorithm Applied to Magnetic Localization. - Manon Lambert; Corentin Féry; Thomas Quirin; Céline Vergne; Simon Lemoigne; Sarah Couchene; Vincent Noblet; Ralf Schumacher; Joris Pascal; Luc Hébrard; Morgan Madec (NewCAS, 2025)