3 papers
physics.med-ph2026
Physics-Assisted Deep Learning Denoising for Stabilized IMPULSED dMRI Microenvironment Parameter Fitting
Wen Li, Yan Dai, Arely Perez Rodriguez +3
Diffusion-weighted MRI (dMRI) is a powerful tool for quantifying cellular microenvironment parameters. This study proposes a physics-assisted deep learning (DL)-based denoising fra…
physics.med-ph2026
Investigating the Uncertainty of Cellular Microenvironment Parameter Estimations via Diffusion MRI Cytometry
Wen Li, Yan Dai, Arely Perez Rodriguez +3
This study aims to identify cell microenvironment parameters that can be robustly estimated from IMPULSED diffusion MRI signals and to develop a reliable mapping-based estimation f…
physics.med-ph2026
Optimizing IMPULSED Acquisition Protocols for Clinical 3T Scanners Through Bayesian Experimental Design
Yan Dai, Xun Jia, Todd Aguilera +4
To optimize diffusion MRI acquisition protocols for IMPULSED model at clinical 3T scanner using Bayesian experimental design, enabling accurate cellular-scale parameter estimation…