Sean C. Epstein

According to our database, Sean C. Epstein authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, 2023

Resolving quantitative MRI model degeneracy with machine learning via training data distribution design.

Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang

CoRR, 2023

Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design.

Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang

Proceedings of the Information Processing in Medical Imaging, 2023

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

CoRR, 2022

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

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022