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.
Effect of combination and number of b values in IVIM analysis with post-processing methodology: simulation and clinical study
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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.