Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. - Jason P. Lim; Stefano B. Blumberg; Neil Narayan; Sean C. Epstein; Daniel C. Alexander; Marco Palombo; Paddy J. Slator (CDMRI@MICCAI, 2022)

Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation. - Sean C. Epstein; Timothy J. P. Bray; Margaret A. Hall-Craggs; Hui Zhang 005 (CoRR, 2022)

Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design. - Michele Guerreri; Sean C. Epstein; Hojjat Azadbakht; Hui Zhang 005 (IPMI, 2023)

Rician likelihood loss for quantitative MRI using self-supervised deep learning. - Christopher S. Parker; Anna Schroder; Sean C. Epstein; James Cole; Daniel C. Alexander; Hui Zhang 005 (CoRR, 2023)