The basins of attraction of a new Hopfield learning rule. - Amos J. Storkey; Romain Valabrègue (Neural Networks, 1999)

Unconsciously deciphering handwriting: Subliminal invariance for handwritten words in the visual word form area. - Emilie Qiao; Fabien Vinckier; Marcin Szwed; Lionel Naccache; Romain Valabrègue; Stanislas Dehaene; Laurent Cohen (NeuroImage, 2010)

Specialization for written words over objects in the visual cortex. - Marcin Szwed; Stanislas Dehaene; Andreas Kleinschmidt; Evelyn Eger; Romain Valabrègue; Alexis Amadon; Laurent Cohen (NeuroImage, 2011)

Fronto-tectal white matter connectivity mediates facilitatory effects of non-invasive neurostimulation on visual detection. - Romain Quentin; Lorena Chanes; Raffaella Migliaccio; Romain Valabrègue; Antoni Valero-Cabré (NeuroImage, 2013)

Structural connectivity differences in left and right temporal lobe epilepsy. - Pierre Besson; Vera Dinkelacker; Romain Valabrègue; Lionel Thivard; Xavier Leclerc; Michel Baulac; Daniela Sammler; Olivier Colliot; Stéphane Lehéricy; Séverine Samson; Sophie Dupont (NeuroImage, 2014)

Optimizing full-brain coverage in human brain MRI through population distributions of brain size. - Maarten Mennes; Mark Jenkinson; Romain Valabrègue; Jan K. Buitelaar; Christian F. Beckmann; Stephen M. Smith 001 (NeuroImage, 2014)

Neural correlates of binding lyrics and melodies for the encoding of new songs. - Irene Alonso; Lila Davachi; Romain Valabrègue; Virginie Lambrecq; Sophie Dupont; Séverine Samson (NeuroImage, 2016)

The Influence of Preprocessing Steps on Graph Theory Measures Derived from Resting State fMRI. - Fatma Gargouri; Fathi Kallel; Sebastien Delphine; Ahmed Ben Hamida; Stéphane Lehéricy; Romain Valabrègue (Frontiers Comput. Neurosci., 2018)

Comparison of spatial normalization strategies of diffusion MRI data for studying motor outcome in subacute-chronic and acute stroke. - Eric A. Moulton; Romain Valabrègue; Belén Díaz; Claire Kemlin; Sara Leder; Stéphane Lehéricy; Yves Samson; Charlotte Rosso (NeuroImage, 2018)

Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. - Patrick J. Bolan; Francesca Branzoli; Anna Luisa Di Stefano; Lucia Nichelli; Romain Valabrègue; Sara L. Saunders; Mehmet Akçakaya; Marc Sanson; Stéphane Lehéricy; Malgorzata Marjanska (MICCAI (7), 2020)

MRI monitoring of temperature and displacement for transcranial focus ultrasound applications. - Valéry Ozenne; Charlotte Constans; Pierre Bour; Mathieu D. Santin; Romain Valabrègue; Harry Ahnine; Pierre Pouget; Stéphane Lehéricy; Jean-François Aubry; Bruno Quesson (NeuroImage, 2020)

Learning brain MRI quality control: a multi-factorial generalization problem. - Ghiles Reguig; Marie Chupin; Hugo Dary; Éric Bardinet; Stéphane Lehéricy; Romain Valabrègue (CoRR, 2022)

Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. - Guanghui Fu; Gabriel Jimenez 001; Sophie Loizillon; Rosana El Jurdi; Lydia Chougar; Didier Dormont; Romain Valabrègue; Ninon Burgos; Stéphane Lehéricy; Daniel Racoceanu; Olivier Colliot (CoRR, 2022)

Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss. - Guanghui Fu; Rosana El Jurdi; Lydia Chougar; Didier Dormont; Romain Valabrègue; Stéphane Lehéricy; Olivier Colliot (Image Processing, 2023)

Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. - Guanghui Fu; Gabriel Jimenez 001; Sophie Loizillon; Lydia Chougar; Didier Dormont; Romain Valabrègue; Ninon Burgos; Stéphane Lehéricy; Daniel Racoceanu; Olivier Colliot (CoRR, 2023)

PyCellMech: A shape-based feature extraction pipeline for use in medical and biological studies. - Janan Arslan; Henri Chhoa; Ines Khemir; Romain Valabrègue; Kurt K. Benke (CoRR, 2024)

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. - Soumick Chatterjee; Hendrik Mattern; Marc Dörner; Alessandro Sciarra; Florian Dubost; Hannes Schnurre; Rupali Khatun; Chun-Chih Yu; Tsung-Lin Hsieh; Yi-Shan Tsai; Yi-Zeng Fang; Yung-Ching Yang; et al. (CoRR, 2024)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Rebecca Ting Jiin Loo; Lukas Pavelka; Graziella Mangone; Fouad Khoury; Marie Vidailhet; Jean-Christophe Corvol; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; et al. (npj Digit. Medicine, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)