Vincent Noblet

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 21

Top Topics

Tumor Segmentation

Diffusion Tensor

Top Venues

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

Comput. Biol. Medicine

Frontiers Neuroinformatics

Publications

Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
Improving abdominal image segmentation with overcomplete shape priors. Comput. Medical Imaging Graph. 113 (2024)
Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener
Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches. CoRR (2024)
A. Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. ISBI (2023)
Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener
Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images. WBIR (2022)
A. Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze
Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. ICIP (2022)
Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet
Analysis Of Brain Functional Connectivity By Frequent Pattern Mining In Graphs. Application To The Characterization Of Murine Models. ISBI (2021)
Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler
Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. ISBI (2021)
Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Jules Massart, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet
Analyse de la connectivité fonctionnelle cérébrale de modèles murins par extraction de motifs fréquents dans des graphes. EGC (2021)
Tristan Deruelle, Frank Kober, Adriana Perles-Barbacaru, Thierry Delzescaux, Vincent Noblet, Emmanuel Luc Barbier, Michel Dojat
A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps. Frontiers Neuroinformatics 14 (2020)
Eléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet
Joint Registration and Change Detection in Longitudinal Brain MRI. ISBI (2020)
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)
Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP (2019)
Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. ISBI (2019)
Philippe Meyer, Vincent Noblet, Christophe Mazzara, Alex Lallement
Survey on deep learning for radiotherapy. Comput. Biol. Medicine 98 (2018)
Odelin Charron, Alex Lallement, Delphine Jarnet, Vincent Noblet, Jean-Baptiste Clavier, Philippe Meyer
Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network. Comput. Biol. Medicine 95 (2018)
Baptiste Magnier, Vincent Noblet, Adrien Voisin, Dylan Legouestre
Derivative Half Gaussian Kernels and Shock Filter. ACIVS (2018)
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)
Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? NeuroImage 142 (2016)
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)
Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? MICCAI (1) (2015)
Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
General linear models for group studies in diffusion tensor imaging. ISBI (2014)
Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Anal. 17 (3) (2013)
Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach
Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage 60 (4) (2012)
Najla Gribaa, Vincent Noblet, Nawrès Khalifa, Sylvain Faisan, Kamel Hamrouni
Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images. Int. J. Image Graph. 12 (2) (2012)
Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. Medical Image Anal. 16 (1) (2012)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. Pattern Recognit. Lett. 33 (3) (2012)
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings. IEEE Trans. Image Process. 20 (8) (2011)
Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) (2011)
Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
A new high order tensor decomposition: Application to reorientation. ISBI (2011)
Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer
Comparison of interpolation methods for angular resampling of diffusion weighted images. IPTA (2010)
Félix Renard, Vincent Noblet, Christian Heinrich, Stéphane Kremer
Reorientation strategies for high order tensors. ISBI (2010)
Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach
Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) (2010)
Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Medical Image Anal. 14 (3) (2010)
Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI (2009)
Hervé Boisgontier, Vincent Noblet, Félix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. MICCAI (1) (2009)
Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. MICCAI (1) (2009)
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation. MICCAI (1) (2008)
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Jean-Paul Armspach, Christophe Meyer
Segmentation of head bones in 3-D CT images from an example. ISBI (2008)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. 17 (10) (2008)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) (2008)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. 10 (3) (2006)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Trans. Image Process. 14 (5) (2005)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. ECCV (3) (2004)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) (2003)