- 2022
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A Riemannian revisiting of structure-function mapping based on eigenmodes
Samuel Deslauriers-Gauthier, Mauro Zucchelli, Hiba Laghrissi, Rachid Deriche
Frontiers in Neuroimaging – Brain Imaging Methods (2022) -
An Anisotropic 4D Filtering Approach to Recover Brain Activation From Paradigm-Free Functional MRI Data
Isa Costantini, Rachid Deriche, Samuel Deslauriers-Gauthier
Frontiers in Neuroimaging – Brain Imaging Methods (2022)
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A Riemannian revisiting of structure-function mapping based on eigenmodes
- 2021
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Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks
Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche
MICCAI International Workshop on Computational Diffusion MRI (2021) -
A spherical convolutional neural network for white matter structure imaging via dMRI
Sara Sedlar, Abib Alimi, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier
24th International Conference on Medical Image Computing and Computer Assisted Intervention (2021) -
Explainable 3D-CNN for Multiple Sclerosis patients stratification
Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Leticia Rittner, Massimiliano Calabrese, Gloria Menegaz
Pattern Recognition. ICPR International Workshops and Challenges (2021) -
Interpretable Deep Learning as a mean for decrypting disease signature in Multiple Sclerosis
Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Leticia Rittner, Massimiliano Calabrese, Gloria Menegaz
Journal of Neural Engineering (2021), 10.1088/1741-2552/ac0f4b -
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge
Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C Alexander, Markus Nilsson, Martijn Froeling, Geert-Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Ozarslan, Derek K Jones, Haoze Chan, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sanchez, Vesna Prchkovska, Paulo Rodrigues, Bennet A Landman, Kurt G Schilling
NeuroImage (2021), 10.1016/j.neuroimage.2021.118367 -
Network alignment and similarity reveal atlas-based topological differences in structural connectomes
Matteo Frigo, Emilio Cruciani, David Coudert, Rachid Deriche, Emanuele Natale, Samuel Deslauriers-Gauthier
Network Neuroscience (2021), 10.1162/netn_a_00199 -
Investigating the effect of DMRI signal representation on fully-connected neural networks brain tissue microstructure estimation
Mauro Zucchelli, Samuel Deslauriers-Gauthier, and Rachid Deriche
IEEE International Symposium on Biomedical Imaging (ISBI) (2021) -
Incorporating transmission delays supported by diffusion MRI in MEG source reconstruction
Ivana Kojčić, Théodore Papadopoulo, Rachid Deriche, and Samuel Deslauriers-Gauthier
IEEE International Symposium on Biomedical Imaging (ISBI) (2021)
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Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks
- 2020
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Paradigm Free Regularization for fMRI Brain Activation Recovery
Isa Costantini
These, Université Côte d’Azur -
Three-dimensional Polarized Light Imaging: Towards Multiscale and Multimodal Analysis with Diffusion Magnetic Resonance Imaging
Abib Alimi
These, Université Côte d’Azur -
A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
Maria Carla Piastra, Andreas Nüßing, Johannes Vorwerk, Maureen Clerc, Christian Engwer, and Carsten Wolters
Human Brain Mapping (2020), 10.1002/hbm.25272 -
Fully-Connected Neural Network and Spherical-Harmonics Rotation Invariant Features improve the estimation of brain tissue microstructure in Diffusion MRI
Mauro Zucchelli, Samuel Deslauriers-Gauthier, and Rachid Deriche
SophIA Summit (2020) -
Diffusion MRI tractography filtering techniques change the topology of structural connectomes
Matteo Frigo, Samuel Deslauriers-Gauthier, Drew Parker, Abdol Aziz Ould Ismail, Junghoon John Kim, Ragini Verma, and Rachid Deriche
Journal of Neural Engineering (2020), 10.1088/1741-2552/abc29b -
Diffusion MRI fiber orientation distribution function estimation using voxel-wise spherical U-net
Sara Sedlar, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier
MICCAI Workshop on Computational Diffusion MRI (2020) -
Quantitative assessment of multi-scale tractography: bridging the resolution gap with 3D-PLI
Abib Alimi, Matteo Frigo, Samuel Deslauriers-Gauthier, and Rachid Deriche
International Society for Magnetic Resonance in Medicine (ISMRM) (2020) -
A Paradigm Free Regularization Approach to Recover Brain Activations: Validation on Task fMRI
Isa Costantini, Samuel Deslauriers-Gauthier, and Rachid Deriche
International Society for Magnetic Resonance in Medicine (ISMRM) (2020) -
Multi-compartment modelling of diffusion MRI signal shows TE-based volume fraction bias
Matteo Frigo, Mauro Zucchelli, Rutger Fick, Samuel Deslauriers-Gauthier, and Rachid Deriche
Organization of Human Brain Mapping (OHBM) (2020) -
Analytical and fast fiber orientation distribution reconstruction in 3d-polarized light imaging
Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Andreas Müller, Sascha EA Muenzing, Markus Axer, and Rachid Deriche
Medical image analysis (2020), 10.1016/j.media.2020.101760 -
Connectivity-informed M/EEG inverse problem
Ivana Kojčić, Théodore Papadopoulo, Rachid Deriche, and Samuel Deslauriers-Gauthier
MICCAI Workshop on GRaphs in biomedicAl Image anaLysis (2020) -
A Unified Framework for Multimodal Structure-function Mapping Based on Eigenmodes
Samuel Deslauriers-Gauthier, Mauro Zucchelli, Matteo Frigo, and Rachid Deriche
Medical Image Analysis (2020), 10.1016/j.media.2020.101799 -
A Unified Model for Structure–function Mapping Based on Eigenmodes
Samuel Deslauriers-Gauthier and Rachid Deriche
Organisation for Humain Brain Mapping (OHBM) (2020) -
Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG
Samuel Deslauriers-Gauthier, Isa Costantini, and Rachid Deriche
Journal of Neural Engineering (2020), 10.1088/1741-2552/ab95ec -
Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias
Matteo Frigo, Rutger H. J. Fick, Mauro Zucchelli, Samuel Deslauriers-Gauthier, and Rachid Deriche
IEEE 17th International Symposium on Biomedical Imaging (2020), 10.1109/isbi45749.2020.9098649
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A Computational Framework For Generating Rotation Invariant Features And Its Application In Diffusion MRI
Mauro Zucchelli, Samuel Deslauriers-Gauthier, and Rachid Deriche
Medical Image Analysis (2020), 10.1016/j.media.2019.101597
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Paradigm Free Regularization for fMRI Brain Activation Recovery
- 2019
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Nouvelles approches algorithmiques pour les problèmes directs et inverses en M/EEG
Kostiantyn Maksymenko
These, Université Côte d’Azur -
Spatially Varying Monte Carlo Sure for the Regularization of Biomedical Images
Marco Pizzolato, Rachid Deriche, Erick Jorge Canales-Rodriguez, Jean-Philippe Thiran
IEEE 16th International Symposium on Biomedical Imaging (2019), 10.1109/isbi.2019.8759338 -
Connectivity–informed spatio–temporal MEG source reconstruction: Simulation results using a MAR model
Ivana Kojčić, Théodore Papadopoulo, Rachid Deriche, and Samuel Deslauriers-Gauthier
Colloque Line Garnero (2019) -
Connectivity-informed solution for spatio-temporal M/EEG source reconstruction
Ivana Kojčić, Théodore Papadopoulo, Rachid Deriche, and Samuel Deslauriers-Gauthier
First meeting of the NeuroMod Institute (2019) -
Spherical convolutional neural network for diffusion MRI analysis
Sara Sedlar, Abib Alimi, Théodore Papadopoulo, Rachid Deriche, and Samuel Deslauriers-Gauthier
SophIA Summit (2020) -
Adaptive phase correction of diffusion-weighted images
Marco Pizzolato, Guillaume Gilbert, Jean-Philippe Thiran, Maxime Descoteaux, and Rachid Deriche
NeuroImage (2019) -
The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy
Rutger H. J. Fick, Demian Wassermann, and Rachid Deriche
Frontiers in Neuro Informatics (2019), 10.3389/fninf.2019.00064 -
Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation
Kostiantyn Maksymenko, Maureen Clerc, and Théodore Papadopoulo
IEEE Transactions on Medical Imaging (2019), 10.1109/TMI.2019.2936921 -
White matter information flow mapping from diffusion MRI and EEG
Samuel Deslauriers-Gauthier, Jean-Marc Lina, Russell Butler, Kevin Whittingstall, Guillaume Gilbert, Pierre-Michel Bernier, Rachid Deriche, and Maxime Descoteaux
NeuroImage, vol. 201 (2019), 10.1016/j.neuroimage.2019.116017 -
Deconvolution of fMRI Data using a Paradigm Free Iterative Approach based on Partial Differential Equations
Isa Costantini, Samuel Deslauriers-Gauthier, and Rachid Deriche
Organization for Human Brain Mapping Annual Meeting (2019) Italy -
Novel 4-D Algorithm for Functional MRI Image Regularization using Partial Differential Equations
Isa Costantini, Samuel Deslauriers-Gauthier, Rachid Deriche
International Society for Magnetic Resonance in Medicine Annual Meeting and Exhibition (2019) Canada -
Towards validation of diffusion MRI tractography: bridging the resolution gap with 3D Polarized Light Imaging
Abib Alimi, Samuel Deslauriers-Gauthier, and Rachid Deriche
International Society for Magnetic Resonance in Medicine Annual Meeting and Exhibition (2019) -
A Novel Characterization of Traumatic Brain Injury in White Matter with Diffusion MRI Spherical-Harmonics Rotation Invariants
Mauro Zucchelli, Drew Parker, Samuel Deslauriers-Gauthier, Junghoon Joh Kim, J Ragini Verma, and Rachid Deriche
International Society for Magnetic Resonance in Medicine Annual Meeting and Exhibition (2019) -
Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI
Patryk Filipiak, Rutger Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehericy, Rachid Deriche, Demian Wassermann
Proceedings of The IEEE International Symposium on Biomedical Imaging (2019), 10.1109/isbi.2019.8759195 -
Estimation of Axonal Conduction Speed and the Inter Hemispheric Transfer Time using Connectivity Informed Maximum Entropy on the Mean
Samuel Deslauriers-Gauthier and Rachid Deriche
SPIE Medical Imaging (2019), 10.1117/12.2511736 -
Estimation of Axon Conduction Delay, Conduction Speed, and Diameter from Information Flow using Diffusion MRI and MEG
Samuel Deslauriers-Gauthier and Rachid Deriche
International Society for Magnetic Resonance in Medicine (2019) -
Effects of tractography filtering on the topology and interpretability of connectomes
Matteo Frigo, Samuel Deslauriers-Gauthier, Drew Parker, Abdol Aziz, Ould Ismail, Junghoon John Kim, Ragini Verma, and Rachid Deriche
Organisation for Human Brain Mapping Annual Meeting (2019) Italy -
Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging: Performance Assessment
Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Daniel Schmitz, Markus Axer, and Rachid Deriche
IEEE International Symposium on Biomedical Imaging (2019), 10.1109/isbi.2019.8759298 -
Fiber orientation distribution function from non-negative sparse recovery with quantitative analysis of local fiber orientations and tractography using DW-MRI datasets
Thinhinane Megherbi, Gabriel Girard, Aurobrata Ghosh, Fatima Oulebsir-Boumghar, and Rachid Deriche
Magnetic Resonance Imaging 57 (2019) 218-234, 10.1016/j.mri.2018.10.003 -
Solving the inclination sign ambiguity in three dimensional polarized light imaging with a pde-based method
Abib Alimi, Marco Pizzolato, Rutger Fick, Rachid Deriche
IEEE 14th International Symposium on Biomedical Imaging (2017), 10.1109/isbi.2017.7950624
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Nouvelles approches algorithmiques pour les problèmes directs et inverses en M/EEG
- 2018
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OpenMEEG software for forward problems, coping with non-nested geometries
Clerc Maureen, Gramfort Alexandre, Papadopoulo Théodore
21st International Conference on Biomagnetism (2018) -
Investigating Diffusion-MRI based neurite density estimation model dependency: an in-vivo study on the HCP dataset
Mauro Zucchelli, Maxime Descoteaux, Gloria Menegaz
BIOMAG (2018) -
Spatio-Temporal dMRI Acquisition Design: Reducing the Number of Samples
Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann
International Society for Magnetic Resonance in Medicine (2018) -
Spatio-Temporal dMRI Acquisition Design: Reducing the Number of Samples
Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann
International Society for Magnetic Resonance in Medicine (2018) -
Towards the assessment of myelination using time-dependent diffusion MRI indices
Abib Alimi, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, and Demian Wassermann
International Society for Magnetic Resonance in Medicine (2018) -
Dmipy, a Diffusion Microstructure Imaging toolbox in Python to improve research reproducibility
Abib Alimi, Rutger Fick, Demian Wassermann, and Rachid Deriche
Computational Diffusion MRI (2018), 10.1007/978-3-030-05831-9_5 -
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem
Kostiantyn Maksymenko, Maureen Clerc, and Théodore Papadopoulo
International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (2018) -
L1-Norm Regularized Deconvolution of Functional MRI BOLD Signal
Isa Costantini , Patryk Filipiak , Kostiantyn Maksymenko , Samuel Deslauriers-Gauthier, and Rachid Deriche
C@UCA (2018) France -
A Closed-Form Solution of Rotation Invariant Spherical Harmonic Features in Diffusion MRI
Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche
Computational Diffusion MRI (2018), 10.1007/978-3-030-05831-9_7 -
Resolving the crossing/kissing fiber ambiguity using Functionally Informed COMMIT
Matteo Frigo, Isa Costantini, Rachid Deriche, and Samuel Deslauriers-Gauthier
Computational Diffusion MRI 2018 (2018), 10.1007/978-3-030-05831-9_26 -
Edema-informed anatomically constrained particle filter tractography
Samuel Deslauriers-Gauthier, Drew Parker, François Rheault, Rachid Deriche, Steven Brem, Maxime Descoteaux, and Ragini Verma
International Conference on Medical Image Computing and Computer-Assisted Intervention (2018) Spain 375-382 -
Solving the Cross-Subject Parcel Matching Problem using Optimal Transport
Guillermo Gallardo, Nathalie TH Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, and Demian Wassermann
International Conference on Medical Image Computing and Computer-Assisted Intervention (2018) 836-843 -
Reducing the number of samples in spatiotemporal dMRI acquisition design
Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy, Philippe Ciuciu, Rachid Deriche, and Demian Wassermann
Magnetic Resonance in Medicine (2018) 1-16, 10.1002/mrm.27601 -
fMRI Deconvolution via Temporal Regularization using a LASSO model and the LARS algorithm
Isa Costantini, Patryk Filipiak, Kostiantyn Maksymenko, Samuel Deslauriers-Gauthier, and Rachid Deriche
In 40th International Engineering in Medicine and Biology Conference (2018) USA -
Reducing false positive connection in tractograms using joint structure-function filtering
Matteo Frigo, Guillermo Gallardo, Isa Constantini, Alessandro Daducci, Demian Wassermann, Rachid Deriche, and Samuel Deslauriers-Gauthier
Organization for Human Brain Mapping Annual Meeting (2018) Singapore -
Mipy: An Open-Source Framework to improve reproducibility in Brain Microstructure Imaging
Rutger Fick, Demian Wassermann, and Rachid Deriche
Organization for Human Brain Mapping Annual Meeting (2018) Singapore -
Non-parametric graphnet-regularized representation of dMRI in space and time
Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy, Rachid Deriche, and Demian Wassermann
Medical Image Analysis 43 (2018) 37-53, 10.1016/j.media.2017.09.002 -
Rational Invariants of Even Ternary Forms Under the Orthogonal Group
Paul Görlach, Evelyne Hubert, and Théo Papadopoulo
Foundations of Computational Mathematics (2018) 1-47, 10.1007/s10208-018-9404-1 -
Diffusion Driven Label Fusion for White Matter Multi-Atlas Segmentation
Guillermo Gallardo , Sylvain Bouix, and Demian Wassermann
Organization for Human Brain Mapping Annual Meeting (2018)
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OpenMEEG software for forward problems, coping with non-nested geometries
- 2017
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Matching parcellations using Optimal Transport: a proof of concept
Guillermo Gallardo, Nathalie Thérèse Hélène Gayraud, Maureen Clerc, Demian Wassermann
Computational Brain Connectivity Mapping Winter School Workshop (2017) -
Deconvolution of fMRI BOLD signal in time-domain using an exponential operator and Lasso optimization
Isa Costantini, Patryk Filipiak, Kostiantyn Maksymenko, Rachid Deriche, and Samuel Deslauriers-Gauthier
Computational Brain Connectivity Mapping Winter School Workshop (2017) -
Regularizing the ODF estimate with the Laplace-Beltrami operator in 3D Polarized Light Imaging
Abib Alimi, Samuel Deslauriers-Gauthier, and Rachid Deriche
Computational Brain Connectivity Mapping Winter School Workshop (2017) -
White matter fiber bundles as a source model in the MEG inverse problem
Kostiantyn Maksymenko, Théodore Papadopoulo, and Samuel Deslauriers-Gauthier
Computational Brain Connectivity Mapping Winter School Workshop (2017) -
Multi-Spherical Diffusion MRI: An in-vivo Test- Retest Study of Time-Dependent q-space Indices
Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy, Rachid Deriche, and Demian Wassermann
ISMRM 25th Annual Meeting & Exhibition (2017) -
Assessing the feasibility of estimating axon diameter using diffusion models and machine learning
Rutger H.J. Fick, Neda Sepasian, Marco Pizzolato, Andrada Ianus, and Rachid Deriche
IEEE 14th International Symposium on Biomedical Imaging (2017) 766-769, 10.1109/ISBI.2017.7950631 -
Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals
Sebastian Hitziger, Maureen Clerc, Sandrine Saillet, Christian Benar, and Theodore Papadopoulo
IEEE Transactions on Signal Processing 65 (2017) 4324-4338, 10.1109/TSP.2017.2698415 -
Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison
Uran Ferizi, Benoit Scherrer, Torben Schneider, Mohammad Alipoor, Odin Eufracio, Rutger H.J. Fick, Rachid Deriche, Markus Nilsson, Ana K. Loya-Olivas, Mariano Rivera, Dirk H.J. Poot, Alonso Ramirez-Manzanares, Jose L. Marroquin, Ariel Rokem, Christian Pötter, Robert F. Dougherty, Ken Sakaie, Claudia Wheeler-Kingshott, Simon K. Warfield, Thomas Witzel, Lawrence L. Wald, José G. Raya, and Daniel C. Alexander
NMR in Biomedicine 30 (2017) e3734, 10.1002/nbm.3734 -
Spatial regularization based on dMRI to solve EEG/MEG inverse problem
Brahim Belaoucha and Theodore Papadopoulo
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2017) 3608-3611, 10.1109/EMBC.2017.8037638 -
Diffusion MRI Anisotropy: Modeling, Analysis and Interpretation
Rutger Fick, Marco Pizzolato, Demian Wassermann, and Rachid Deriche
Book chapter in Modeling, Analysis, and Visualization of Anisotropy (2017) 203-228, 10.1007/978-3-319-61358-1_9 -
Using diffusion MRI to discriminate areas of cortical grey matter
Tharindu Ganepola, Zoltan Nagy, Aurobrata Ghosh, Theodore Papadopoulo, Daniel C. Alexander, and Martin I. Sereno
NeuroImage 17 (2017), 10.1016/j.neuroimage.2017.12.046 -
Large brain effective network from EEG/MEG data and dMR information
Brahim Belaoucha and Theodore Papadopoulo
International Workshop on Pattern Recognition in Neuroimaging (2017) 1-4, 10.1109/PRNI.2017.7981511 -
Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches
Nahuel Lascano, Guillermo Gallardo, Rachid Deriche, Dorian Mazauric, and Demian Wassermann
IPMI: Information Processing in Medical Imaging (2017) 373-384, 10.1007/978-3-319-59050-9_30 -
Advanced dMRI signal modeling for tissue microstructure characterization
Rutger H.J. Fick
Ph.D. Thesis Université Côte d’Azur (2017) -
Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEG
Samuel Deslauriers-Gauthier, Jean-Marc Lina, Russell Butler, Pierre-Michel Bernier, Kevin Whittingstall, Rachid Deriche, and Maxime Descoteaux
International Conference on Medical Image Computing and Computer-Assisted Intervention (2017) 505-512, 10.1007/978-3-319-66182-7_58 -
Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qt Samples Through a Relaxed Probabilistic Model
Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy, Rachid Deriche, and Demian Wassermann
MICCAI Workshop on Computational Diffusion MRI (2017), 10.1007/978-3-319-73839-0_3 -
Information Flow in the white matter during a motor task: A structural connectivity driven approach
Guillermo Gallardo, Demian Wassermann, Rachid Deriche, Maxime Descoteaux, and Samuel Deslauriers-Gauthier
Organization for Human Brain Mapping Annual Meeting (2017) -
Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach
Guillermo Gallardo, William Wells, Rachid Deriche, and Demian Wassermann
NeuroImage 170 (2017) 307-320, 10.1016/j.neuroimage.2017.01.070 -
AxTract: Toward microstructure informed tractography
Gabriel Girard, Alessandro Daducci, Laurent Petit, Jean-Philippe Thiran, Kevin Whittingstall, Rachid Deriche, Demian Wassermann, and Maxime Descoteaux
Human Brain Mapping 38 (2017) 5485-5500, 10.1002/hbm.23741 -
A Novel Atlas of Human Cerebral Cortex based on Extrinsic Connectivity
Guillermo Gallardo, Rachid Deriche, and Demian Wassermann
Organization for Human Brain Mapping Annual Meeting (2017) -
Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-Shell Diffusion MRI
Rutger H. J. Fick, Madelaine Daianu, Marco Pizzolato, Demian Wassermann, Russell E. Jacobs, Paul M. Thompson, Terrence Town, and Rachid Deriche
Computational Diffusion MRI (2017), 10.1007/978-3-319-54130-3_16
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Matching parcellations using Optimal Transport: a proof of concept
- 2016
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Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach
Demian Wassermann, Dorian Mazauric, Guillermo Gallardo-Diez, and Rachid Deriche
Medical Image Computing and Computer-Assisted Intervention (2016) 89-96, 10.1007/978-3-319-46720-7_11 -
Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity
Rutger H. J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy, Rachid Deriche, and Demian Wassermann
MICCAI Workshop on computational diffusion MRI (2016) 71-83, 10.1007/978-3-319-54130-3_6 -
Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models
Guillermo Gallardo, Rutger Fick, William Wells, Rachid Deriche, and Demian Wassermann
MICCAI Workshop on Computational Diffusion MRI (2016) 99-112, 10.1007/978-3-319-54130-3_8 -
Iterative two-stage approach to estimate sources and their interactions
Brahim Belaoucha and Théodore Papadopoulo
20th International Conference on Biomagnetism (2016) -
Multi-Spherical MRI: Breaking the Boundaries of Diffusion Time
Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehericy, Rachid Deriche, and Demian Wassermann
ISMRM Workshop on: Breaking the Barriers of Diffusion MRI (2016) -
Computational Brain Connectivity Mapping: A Core Health and Scientific Challenge
Rachid Deriche
Medical Image Analysis 33 (2016) 122–126, 10.1016/j.media.2016.06.003
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Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach
- Preprints
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Improving Auto-Encoders’ self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss
Aymene Mohammed Bouayed, Karim Atif, Rachid Deriche, and Abdelhakim Saim -
Multi-Tissue Multi-Compartment Models of Diffusion MRI
Matteo Frigo, Rutger Fick, Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche
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Improving Auto-Encoders’ self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss