Vincent Noblet

54 papers B 2Misc 1Journal 22Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Bridging the Gap Between Conventional and CNN-Based Registration: Application to Mouse Brain Morphometry. ISBI Franck Valentini, Alex Lallement, Jean-Christophe Deloulme, Vincent Noblet
2025	—	`conf`	Machine-Learning Algorithm Applied to Magnetic Localization. NewCAS Manon Lambert, Corentin Féry, Thomas Quirin, Céline Vergne, Simon Lemoigne, Sarah Couchene, Vincent Noblet, Ralf Schumacher, Joris Pascal, Luc Hébrard, Morgan Madec
2024	J	`jnl`	Controllability of Functional and Structural Brain Networks. Complex. Ali Moradi Amani, Amirhessam Tahmassebi, Andreas Stadlbauer, Uwe Meyer-Baese, Vincent Noblet, Frederic Blanc, Hagen Malberg, Anke Meyer-Baese
2024	—	`conf`	Deep Vessel Segmentation with Joint Multi-Prior Encoding. ISBI Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	Deep vessel segmentation with joint multi-prior encoding. CoRR Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches. CoRR Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener
2024	J	`jnl`	Improving abdominal image segmentation with overcomplete shape priors. Comput. Medical Imaging Graph. Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation. CoRR Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation. CoRR Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze
2023	—	`conf`	Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. ISBI Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2022	—	`conf`	Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images. WBIR Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener
2022	B	`conf`	Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. ICIP Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze
2021	—	`conf`	Analyse de la connectivité fonctionnelle cérébrale de modèles murins par extraction de motifs fréquents dans des graphes. EGC Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Jules Massart, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet
2021	—	`conf`	Analysis Of Brain Functional Connectivity By Frequent Pattern Mining In Graphs. Application To The Characterization Of Murine Models. ISBI Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet
2021	—	`conf`	Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. ISBI Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler
2020	J	`jnl`	A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps. Frontiers Neuroinformatics Tristan Deruelle, Frank Kober, Adriana Perles-Barbacaru, Thierry Delzescaux, Vincent Noblet, Emmanuel Luc Barbier, Michel Dojat
2020	—	`conf`	Joint Registration and Change Detection in Longitudinal Brain MRI. ISBI Eléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet
2019	Misc	`conf`	Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer
2019	J	`jnl`	Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. Farid Ouhmich, Vincent Agnus, Vincent Noblet, Fabrice Heitz, Patrick Pessaux
2019	—	`conf`	Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. ISBI Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet
2018	J	`jnl`	Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network. Comput. Biol. Medicine Odelin Charron, Alex Lallement, Delphine Jarnet, Vincent Noblet, Jean-Baptiste Clavier, Philippe Meyer
2018	B	`conf`	Derivative Half Gaussian Kernels and Shock Filter. ACIVS Baptiste Magnier, Vincent Noblet, Adrien Voisin, Dylan Legouestre
2018	—	`conf`	Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz
2018	J	`jnl`	Survey on deep learning for radiotherapy. Comput. Biol. Medicine Philippe Meyer, Vincent Noblet, Christophe Mazzara, Alex Lallement
2017	—	`conf`	Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux
2017	J	`jnl`	Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux
2016	—	`conf`	Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
2016	J	`jnl`	Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? NeuroImage Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2015	—	`conf`	Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
2015	—	`conf`	Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? MICCAI (1) Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2014	—	`conf`	General linear models for group studies in diffusion tensor imaging. ISBI Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2013	J	`jnl`	Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Anal. Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach
2012	J	`jnl`	An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. Pattern Recognit. Lett. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2012	J	`jnl`	Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images. Int. J. Image Graph. Najla Gribaa, Vincent Noblet, Nawrès Khalifa, Sylvain Faisan, Kamel Hamrouni
2012	J	`jnl`	Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. Medical Image Anal. Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2012	J	`jnl`	Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach
2011	—	`conf`	A new high order tensor decomposition: Application to reorientation. ISBI Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2011	—	`conf`	Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach
2011	J	`jnl`	Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings. IEEE Trans. Image Process. Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
2010	—	`conf`	Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach
2010	—	`conf`	Comparison of interpolation methods for angular resampling of diffusion weighted images. IPTA Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer
2010	J	`jnl`	Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Medical Image Anal. Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2010	—	`conf`	Reorientation strategies for high order tensors. ISBI Félix Renard, Vincent Noblet, Christian Heinrich, Stéphane Kremer
2009	—	`conf`	Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009	—	`conf`	Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. MICCAI (1) Hervé Boisgontier, Vincent Noblet, Félix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009	—	`conf`	Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. MICCAI (1) Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2008	J	`jnl`	Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008	—	`conf`	Segmentation of head bones in 3-D CT images from an example. ISBI Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Jean-Paul Armspach, Christophe Meyer
2008	—	`conf`	Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008	—	`conf`	Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation. MICCAI (1) Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
2006	J	`jnl`	Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2005	J	`jnl`	3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Trans. Image Process. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2004	—	`conf`	A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. ECCV (3) Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2003	—	`conf`	A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach