Benoit Scherrer
Orcid: 0000-0002-8798-8562
According to our database1,
Benoit Scherrer
authored at least 39 papers
between 2007 and 2021.
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Bibliography
2021
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding.
Medical Image Anal., 2021
2020
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage, 2020
2019
Histological validation of per-bundle water diffusion metrics within a region of fiber crossing following axonal degeneration.
NeuroImage, 2019
Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.
NeuroImage, 2019
2017
Block-Matching Distortion Correction of Echo-Planar Images With Opposite Phase Encoding Directions.
IEEE Trans. Medical Imaging, 2017
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis.
NeuroImage, 2017
Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI.
NeuroImage, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking.
IEEE Trans. Medical Imaging, 2016
Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Medical Image Anal., 2015
Multi-session complex averaging for high resolution high SNR 3T MR visualization of ex vivo hippocampus and insula.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Symmetric block-matching registration for the distortion correction of Echo-Planar images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, 2015
2014
A Mathematical Framework for the Registration and Analysis of Multi-Fascicle Models for Population Studies of the Brain Microstructure.
IEEE Trans. Medical Imaging, 2014
A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Cortical Graph Smoothing: A Novel Method for Exploiting DWI-Derived Anatomical Brain Connectivity to Improve EEG Source Estimation.
IEEE Trans. Medical Imaging, 2013
Estimation of a Multi-fascicle Model from Single B-Value Data with a Population-Informed Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Automatic delineation of white matter fascicles by localization based upon anatomical spatial relationships.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Reliable Selection of the Number of Fascicles in Diffusion Images by Estimation of the Generalization Error.
Proceedings of the Information Processing in Medical Imaging, 2013
2012
Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions.
Medical Image Anal., 2012
Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Registration and Analysis of White Matter Group Differences with a Multi-fiber Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Retrospective local artefacts detection in diffusion-weighted images using the Random Sample Consensus (RANSAC) paradigm.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Incorporating anatomical connectivity into EEG source estimation via sparse approximation with cortical graph wavelets.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
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
On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance Echo-planar images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Why multiple b-values are required for multi-tensor models: evaluation with a constrained log-Euclidean model.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
IEEE Trans. Medical Imaging, 2009
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans.
Artif. Intell. Medicine, 2009
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Segmentation des tissus et structures sur les IRM cérébrales : agents markoviens locaux coopératifs et formulation bayésienne. (MR brain scan tissus and structures segmentation: local cooperative Markovian agents and Bayesian formulation).
PhD thesis, 2008
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Artificial Intelligence in Medicine, 2007