Brain activations in speech recovery process after intra-oral surgery: an fMRI study. - Audrey Acher; Marc Sato; Laurent Lamalle; Coriandre Vilain; Arnaud Attye; Alexandre Krainik; Georges Bettega; Christian Adrien Righini; Brice Carlot; Muriel Brix; Pascal Perrier (INTERSPEECH, 2013)

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. - Carole H. Sudre; Jasmina Panovska; Eser Sanverdi; Sebastian Brandner; Vasileios K. Katsaros; George Stranjalis; Francesca B. Pizzini; Claudio Ghimenton; Katarina Surlan-Popovic; Jernej Avsenik; Maria Vittoria Spampinato; Mario Nigro; et al. (BMC Medical Informatics Decis. Mak., 2020)

TractLearn: A geodesic learning framework for quantitative analysis of brain bundles. - Arnaud Attye; Félix Renard; Monica Baciu; Elise Roger; Laurent Lamalle; Patrick Dehail; Hélène Cassoudesalle; Fernando Calamante (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)

CT TRAINING AND VALIDATION SERIES FOR 3D AUTOMATED SEGMENTATION OF INNER EAR USING U-NET ARCHITECTURE DEEP-LEARNING MODEL. - Jonathan Lim; Julien Ognard; Arnaud Attye (IEEE DataPort, 2023)