Sean C. Epstein

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

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Publications

Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang
Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design. IPMI (2023)
Christopher S. Parker, Anna Schroder, Sean C. Epstein, James Cole, Daniel C. Alexander, Hui Zhang
Rician likelihood loss for quantitative MRI using self-supervised deep learning. CoRR (2023)
Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design. CoRR (2023)
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. CDMRI@MICCAI (2022)
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning. CoRR (2022)
Sean C. Epstein, Timothy J. P. Bray, Margaret A. Hall-Craggs, Hui Zhang
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation. CoRR (2022)