In vivo assessment of myelination by phase imaging at high magnetic field. - Gregory A. Lodygensky; José P. Marques; Rajika Maddage; Elodie Perroud; Stéphane V. Sizonenko; Petra S. Hüppi; Rolf Gruetter (NeuroImage, 2012)

The Effect of Experience on Learnability and Usability of a Neuroimaging Platform. - Thomas Ruel; Pierre-Majorique Léger; Gregory A. Lodygensky; David Luck; Yang Ding; Bertrand Demolin; Sylvain Sénécal (HCI (41), 2020)

On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation. - Martin Van Waerebeke; Gregory A. Lodygensky; Jose Dolz (UNSURE@MICCAI, 2022)

NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline. - Vicente Enguix; Jeanette K. Kenley; David Luck; Julien Cohen-Adad; Gregory A. Lodygensky (Frontiers Neuroinformatics, 2022)

Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. - Farzad Beizaee; Christian Desrosiers; Gregory A. Lodygensky; Jose Dolz (IPMI, 2023)

Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection. - Farzad Beizaee; Gregory A. Lodygensky; Christian Desrosiers; Jose Dolz (CVPR, 2025)

MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection. - Farzad Beizaee; Gregory A. Lodygensky; Christian Desrosiers; Jose Dolz (IPMI (2), 2025)

Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. - Farzad Beizaee; Gregory A. Lodygensky; Christopher L. Adamson; Deanne K. Thompson; Jeanie L. Y. Cheong; Alicia J. Spittle; Peter J. Anderson; Christian Desrosiers; Jose Dolz (Medical Image Anal., 2025)

Diffusion Bubble Model: A novel MRI approach for detection and subtyping of neonatal punctate white matter lesions. - Erjun Zhang; Benjamin De Leener; Gregory A. Lodygensky (NeuroImage, 2025)