26 citations · 32 across the 2 of their papers we have counts for
2 papers
physics.med-ph2023★ 6 cited
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design
Michele Guerreri, Sean Epstein, Hojjat Azadbakht +1
Quantitative MRI (qMRI) aims to map tissue properties non-invasively via models that relate these unknown quantities to measured MRI signals. Estimating these unknowns, which has t…
physics.med-ph2019★ 26 cited
SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI
Marco Palombo, Andrada Ianus, Daniel Nunes +4
This work introduces a compartment-based model for apparent soma and neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The existing conjecture in…