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ORCIDVincent Noblet
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2020 – today
- 2024
[j18]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: 102356 (2024)- [j17]Ali Moradi Amani, Amirhessam Tahmassebi, Andreas Stadlbauer, Uwe Meyer-Baese, Vincent Noblet, Frederic Blanc, Hagen Malberg, Anke Meyer-Baese:
Controllability of Functional and Structural Brain Networks. Complex. 2024 (2024) - [c30]Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Deep Vessel Segmentation with Joint Multi-Prior Encoding. ISBI 2024: 1-5 - [i4]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 abs/2406.19943 (2024) - [i3]Amine 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. CoRR abs/2409.12333 (2024) - [i2]Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Deep vessel segmentation with joint multi-prior encoding. CoRR abs/2409.12334 (2024) - [i1]Amine 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. CoRR abs/2409.13001 (2024) - 2023
- [c29]Amine 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: 1-5 - 2022
- [c28]Amine 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: 586-590 - [c27]Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener:
Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images. WBIR 2022: 206-210 - 2021
- [c26]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: 495-496 - [c25]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: 948-952 - [c24]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: 1699-1703 - 2020
- [j16]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: 22 (2020) - [c23]Eléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet:
Joint Registration and Change Detection in Longitudinal Brain MRI. ISBI 2020: 104-108
2010 – 2019
- 2019
- [j15]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): 1275-1284 (2019) - [c22]Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer:
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP 2019: 2867-2871 - [c21]Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet:
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. ISBI 2019: 806-809 - 2018
- [j14]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: 43-54 (2018) - [j13]Philippe Meyer, Vincent Noblet, Christophe Mazzara, Alex Lallement:
Survey on deep learning for radiotherapy. Comput. Biol. Medicine 98: 126-146 (2018) - [c20]Baptiste Magnier, Vincent Noblet, Adrien Voisin, Dylan Legouestre:
Derivative Half Gaussian Kernels and Shock Filter. ACIVS 2018: 584-597 - [c19]Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz:
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI 2018: 39-47 - 2017
- [j12]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): 223-233 (2017) - [c18]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: 490-493 - 2016
- [j11]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: 99-112 (2016) - [c17]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: 416-419 - 2015
- [c16]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: 158-165 - [c15]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: 212-219 - 2014
- [c14]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: 1339-1340 - 2013
- [j10]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): 375-386 (2013) - 2012
- [j9]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) - [j8]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): 325-338 (2012) - [j7]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): 2206-2221 (2012) - [j6]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): 283-290 (2012) - 2011
- [j5]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): 2135-2145 (2011) - [c13]Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A new high order tensor decomposition: Application to reorientation. ISBI 2011: 258-261 - [c12]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: 1-8 - 2010
- [j4]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): 373-389 (2010) - [c11]Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer:
Comparison of interpolation methods for angular resampling of diffusion weighted images. IPTA 2010: 207-211 - [c10]Félix Renard, Vincent Noblet, Christian Heinrich, Stéphane Kremer:
Reorientation strategies for high order tensors. ISBI 2010: 1185-1188 - [c9]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: 117-124
2000 – 2009
- 2009
- [c8]Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI 2009: 811-814 - [c7]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: 566-574 - [c6]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: 959-966 - 2008
- [j3]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. 17(10): 1963-1968 (2008) - [c5]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: 81-84 - [c4]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: 211-218 - [c3]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) 2008: 897-904 - 2006
- [j2]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. 10(3): 366-384 (2006) - 2005
- [j1]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): 553-566 (2005) - 2004
- [c2]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: 546-557 - 2003
- [c1]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) 2003: 977-978
Coauthor Index
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