Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. - Yasser Iturria-Medina; Erick Jorge Canales-Rodríguez; Lester Melie-García; Pedro A. Valdés-Hernández; Eduardo Martínez-Montes; Yasser Alemán-Gómez; Jose Miguel Sanchez Bornot (NeuroImage, 2007)

Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory. - Yasser Iturria-Medina; Roberto C. Sotero; Erick Jorge Canales-Rodríguez; Yasser Alemán-Gómez; Lester Melie-García (NeuroImage, 2008)

A Bayesian framework to identify principal intravoxel diffusion profiles based on diffusion-weighted MR imaging. - Lester Melie-García; Erick Jorge Canales-Rodríguez; Yasser Alemán-Gómez; Ching-Po Lin; Yasser Iturria-Medina; Pedro A. Valdés-Hernández (NeuroImage, 2008)

Deconvolution in diffusion spectrum imaging. - Erick Jorge Canales-Rodríguez; Yasser Iturria-Medina; Yasser Alemán-Gómez; Lester Melie-García (NeuroImage, 2010)

Diffusion orientation transform revisited. - Erick Jorge Canales-Rodríguez; Ching-Po Lin; Yasser Iturria-Medina; Chun-Hung Yeh; Kuan-Hung Cho; Lester Melie-García (NeuroImage, 2010)

Statistical analysis of brain tissue images in the wavelet domain: Wavelet-based morphometry. - Erick Jorge Canales-Rodríguez; Joaquim Radua; Edith Pomarol-Clotet; Salvador Sarró; Yasser Alemán-Gómez; Yasser Iturria-Medina; Raymond Salvador (NeuroImage, 2013)

Validity of modulation and optimal settings for advanced voxel-based morphometry. - Joaquim Radua; Erick Jorge Canales-Rodríguez; Edith Pomarol-Clotet; Raymond Salvador (NeuroImage, 2014)

Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI. - Alessandro Daducci; Erick Jorge Canales-Rodríguez; Maxime Descoteaux; Eleftherios Garyfallidis; Yaniv Gur; Ying-Chia Lin; Merry Mani; Sylvain Merlet; Michael Paquette; Alonso Ramirez-Manzanares; Marco Reisert; Paulo Reis Rodrigues; et al. (IEEE Trans. Medical Imaging, 2014)

Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. - Alessandro Daducci; Erick Jorge Canales-Rodríguez; Hui Zhang 005; Tim B. Dyrby; Daniel C. Alexander; Jean-Philippe Thiran (NeuroImage, 2015)

Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data. - Javier García Blas; Manuel F. Dolz; José Daniel García; Jesús Carretero 001; Alessandro Daducci; Yasser Alemán-Gómez; Erick Jorge Canales-Rodríguez (ICA3PP, 2016)

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler. - Thomas Yu; Marco Pizzolato; Gabriel Girard; Jonathan Rafael-Patino; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (IPMI, 2019)

Spatially Varying Monte Carlo Sure for the Regularization of Biomedical Images. - Marco Pizzolato; Rachid Deriche; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (ISBI, 2019)

Robust T2 Relaxometry With Hamiltonian MCMC for Myelin Water Fraction Estimation. - Thomas Yu; Marco Pizzolato; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (ISBI, 2019)

Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI. - Erick Jorge Canales-Rodríguez; Jon Haitz Legarreta; Marco Pizzolato; Gaëtan Rensonnet; Gabriel Girard; Jonathan Rafael-Patino; Muhamed Barakovic; David Romascano; Yasser Alemán-Gómez; Joaquim Radua; Edith Pomarol-Clotet; Raymond Salvador; et al. (NeuroImage, 2019)

Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results. - Jonathan Rafael-Patino; David Romascano; Alonso Ramirez-Manzanares; Erick Jorge Canales-Rodríguez; Gabriel Girard; Jean-Philippe Thiran (Frontiers Neuroinformatics, 2020)

Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection. - Elda Fischi Gomez; Jonathan Rafael-Patino; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Tobias Kober; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (ISBI, 2021)

Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom. - Hamza Kebiri; Hélène Lajous; Yasser Alemán-Gómez; Gabriel Girard; Erick Jorge Canales-Rodríguez; Sébastien Tourbier; Marco Pizzolato; Jean-Baptiste Ledoux; Eleonora Fornari; András Jakab; Meritxell Bach Cuadra (CDMRI@MICCAI, 2021)

Comparison of non-parametric T2 relaxometry methods for myelin water quantification. - Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Nicolas Kunz; Caroline Pot; Thomas Yu; Raymond Salvador; Edith Pomarol-Clotet; Tobias Kober; Jean-Philippe Thiran; Alessandro Daducci (Medical Image Anal., 2021)

Model-informed machine learning for multi-component T2 relaxometry. - Thomas Yu; Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Elda Fischi Gomez; Matthias Weigel; Muhamed Barakovic; Meritxell Bach Cuadra; Cristina Granziera; Tobias Kober; Jean-Philippe Thiran (Medical Image Anal., 2021)

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. - Muhamed Barakovic; Chantal M. W. Tax; Umesh S. Rudrapatna; Maxime Chamberland; Jonathan Rafael-Patino; Cristina Granziera; Jean-Philippe Thiran; Alessandro Daducci; Erick Jorge Canales-Rodríguez; Derek K. Jones (NeuroImage, 2021)

Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares. - Erick Jorge Canales-Rodríguez; Marco Pizzolato; Thomas Yu; Gian Franco Piredda; Tom Hilbert; Joaquim Radua; Tobias Kober; Jean-Philippe Thiran (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders. - Hamza Kebiri; Gabriel Girard; Yasser Alemán-Gómez; Thomas Yu; András Jakab; Erick Jorge Canales-Rodríguez; Meritxell Bach Cuadra (CDMRI@MICCAI, 2022)

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. - Thomas Yu; Tom Hilbert; Gian Franco Piredda; Arun Joseph; Gabriele Bonanno; Salim Zenkhri; Patrick Omoumi; Meritxell Bach Cuadra; Erick Jorge Canales-Rodríguez; Tobias Kober; Jean-Philippe Thiran (CoRR, 2022)

Axial and radial axonal diffusivities from single encoding strongly diffusion-weighted MRI. - Marco Pizzolato; Erick Jorge Canales-Rodríguez; Mariam Andersson; Tim B. Dyrby (CoRR, 2022)

Evaluating reproducibility and subject-specificity of microstructure-informed connectivity. - Philipp J. Koch; Gabriel Girard; Julia Brügger; Andéol Cadic-Melchior; Elena Beanato; Chang-Hyun Park; Takuya Morishita; Maximilian Jonas Wessel; Marco Pizzolato; Erick Jorge Canales-Rodríguez; Elda Fischi Gomez; Simona Schiavi; et al. (NeuroImage, 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

CACTUS: a computational framework for generating realistic white matter microstructure substrates. - Juan Luis Villarreal-Haro; Remy Gardier; Erick Jorge Canales-Rodríguez; Elda Fischi Gomez; Gabriel Girard; Jean-Philippe Thiran; Jonathan Rafael-Patino (Frontiers Neuroinformatics, 2023)

Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI. - Marco Pizzolato; Erick Jorge Canales-Rodríguez; Mariam Andersson; Tim B. Dyrby (Medical Image Anal., 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)

Comparing Steam and PGSE Diffusion MRI Signal of RAT Lymph Nodes Using In-Silico Simulations. - Remy Gardier; Arnaud Savoy; Juan Luis Villarreal-Haro; Gabriel Girard; Erick Jorge Canales-Rodríguez; Elda Fischi Gomez; Andreea Hertanu; Ileana O. Jelescu; Jonathan Rafael-Patino; Jean-Philippe Thiran (ISBI, 2024)

In-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI. - Daniel Vallejo-Aldana; Alonso Ramirez-Manzanares; Erick Jorge Canales-Rodríguez; Thomas Yu; Abraham Cisneros-Mejorado; Luis Concha; Jonathan Rafael-Patino; Jean-Philippe Thiran (ISBI, 2024)