Bayesian optimization of IMPULSED diffusion MRI protocols produces designs with superior cell classification accuracy and lower parameter estimation error than heuristic baselines in simulations and canine tumor scans at 3T.
qModeL: A plug ‐and‐play model‐based reconstruction for highly accelerated multi‐shot diffusion MRI using learned priors
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.med-ph 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Optimizing IMPULSED Acquisition Protocols for Clinical 3T Scanners Through Bayesian Experimental Design
Bayesian optimization of IMPULSED diffusion MRI protocols produces designs with superior cell classification accuracy and lower parameter estimation error than heuristic baselines in simulations and canine tumor scans at 3T.