Vincent Noblet

According to our database, Vincent Noblet authored at least 49 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

Deep Vessel Segmentation with Joint Multi-Prior Encoding.

Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images.

Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Proceedings of the Extraction et Gestion des Connaissances, 2021

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

Joint Registration and Change Detection in Longitudinal Brain MRI.

Eléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases.

Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Anomaly Detection in Single Subject vs Group Using Manifold Learning.

Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Survey on deep learning for radiotherapy.

Philippe Meyer, Vincent Noblet, Christophe Mazzara, Alex Lallement

Comput. Biol. Medicine, 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

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

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Derivative Half Gaussian Kernels and Shock Filter.

Baptiste Magnier, Vincent Noblet, Adrien Voisin, Dylan Legouestre

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans.

Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux

Int. J. Comput. Assist. Radiol. Surg., 2017

Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration.

Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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, Jean-Paul Armspach

NeuroImage, 2016

Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans.

Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels.

Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?

Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

General linear models for group studies in diffusion tensor imaging.

Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways.

Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach

Medical Image Anal., 2013

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 in diffusion MRI using multivariate statistical testing on tensors.

Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach

NeuroImage, 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

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

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

Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.

Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A new high order tensor decomposition: Application to reorientation.

Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Evaluation of brain atrophy estimation algorithms using simulated ground-truth data.

Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach

Medical Image Anal., 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Reorientation strategies for high order tensors.

Félix Renard, Vincent Noblet, Christian Heinrich, Stéphane Kremer

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Comparison of interpolation methods for angular resampling of diffusion weighted images.

Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer

Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

2009

Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches.

Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images.

Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Accurate Inversion of 3-D Transformation Fields.

Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach

IEEE Trans. Image Process., 2008

Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction.

Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation.

Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

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

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2006

Retrospective evaluation of a topology preserving non-rigid registration method.

Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach

Medical Image Anal., 2006

2005

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

2004

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

Proceedings of the Computer Vision, 2004

2003

A Topology Preserving Method for 3-D Non-rigid Brain Image Registration.

Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003