Vincent Noblet
According to our database1,
Vincent Noblet
authored at least 45 papers
between 2003 and 2023.
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Bibliography
2023
Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation.
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
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.
Proceedings of the Extraction et Gestion des Connaissances, 2021
2020
A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps.
Frontiers Neuroinformatics, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network.
Comput. Biol. Medicine, 2018
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018
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.
Int. J. Comput. Assist. Radiol. Surg., 2017
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration.
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?
NeuroImage, 2016
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans.
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.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways.
Medical Image Anal., 2013
2012
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration.
Pattern Recognit. Lett., 2012
Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors.
NeuroImage, 2012
Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis.
Medical Image Anal., 2012
Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images.
Int. J. Image Graph., 2012
2011
Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings.
IEEE Trans. Image Process., 2011
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Medical Image Anal., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
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.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2006
Medical Image Anal., 2006
2005
3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization.
IEEE Trans. Image Process., 2005
2004
A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images.
Proceedings of the Computer Vision, 2004
2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003