Learning Global Brain Microstructure Maps Using Trainable Sparse Encoders. - Jonathan Rafael-Patino; Muhamed Barakovic; Gabriel Girard; Alessandro Daducci; Jean-Philippe Thiran (ICIP, 2019)

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)

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)

Limits to anatomical accuracy of diffusion tractography using modern approaches. - Kurt G. Schilling; Vishwesh Nath; Colin B. Hansen; Prasanna Parvathaneni; Justin A. Blaber; Yurui Gao; Peter Neher; Dogu Baran Aydogan; Yonggang Shi; Mario Ocampo-Pineda; Simona Schiavi; Alessandro Daducci; et al. (NeuroImage, 2019)

An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms. - Raphaël Truffet; Jonathan Rafael-Patino; Gabriel Girard; Marco Pizzolato; Christian Barillot; Jean-Philippe Thiran; Emmanuel Caruyer (MICCAI (2), 2020)

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)

The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset. - Jonathan Rafael-Patino; Gabriel Girard; Raphaël Truffet; Marco Pizzolato; Jean-Philippe Thiran; Emmanuel Caruyer (CDMRI@MICCAI, 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)

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)

Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. - Sebastian Otálora; Jonathan Rafael-Patino; Antoine Madrona; Elda Fischi Gomez; Veronica Ravano; Tobias Kober; Søren Christensen; Arsany Hakim; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes@MICCAI, 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)

Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm. - Theo Leuliet; Stefan Huwer; Bénédicte Maréchal; Veronica Ravano; Tobias Kober; Jonathan Rafael-Patino; Johannes Kaesmacher; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes/SWITCH@MICCAI, 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. - Antoine Madrona; Sebastian Otálora; Elda Fischi Gomez; Veronica Ravano; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Roland Wiest; Richard McKinley; Jonas Richiardi; Jonathan Rafael-Patino (ISBI, 2023)

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)

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)