2 papers
cs.LG2026
Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning
Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3
Diffusion MRI enables non-invasive probing of tissue microstructure, but accurate parameter estimation is challenged by noise-related effects. In supervised machine learning framew…
physics.med-ph2026
Bayesian Insights into Exchange and Restriction in Gray Matter Diffusion MRI
Maëliss Jallais, Quentin Uhl, Tommaso Pavan +4
Biophysical models in diffusion MRI (dMRI) hold promise for characterizing gray matter tissue microstructure. Yet, the reliability of their parameter estimates remains largely unde…