An FA-based hybrid DTI-mixture model for multi-fiber reconstruction in diffusion MRI.

Tensor-derived diffusion MRI metrics and NODDI in multiple sclerosis classification

In this ROI-based diffusion MRI classification, broader use of conventional tensor-derived information showed similar within-cohort discrimination to more complex representations in linear anisotropy.

AI-based reconstruction from low-resolution acquisitions for diffusion MRI: evaluation of FOD similarity

This study evaluated an AI-based reconstruction method, Precise IQ Engine (PIQE), and demonstrated that PIQE exhibited higher distributional similarity and directional agreement compared with ZIP+Advanced Intelligent Clear-IQ Engine (AiCE), with statistically significant similarity observed.

Fiber-Resolved Microstructure Quantification from Multi-Shell Diffusion MRI using Detection Transformers

This work proposes to reframe the diffusion MRI problem as an object detection-like task, adopting the Detection Transformer (DETR) architecture to jointly predict mean diffusivity, fractional anisotropy, main fiber direction, and signal fraction for a variable number of compartments per voxel from standard multi-shell...

FF-Reg: A Multimodal Fusion Network for Diffeomorphic FA-DTI Registration

Simulation of realistic brain phantoms for susceptibility tensor imaging.

Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising

The proposed CM-RED method consistently outperforms existing DM- and CM-based approaches in both quantitative metrics and visual fidelity, and exhibits strong robustness to hyperparameter variations, highlighting CM-RED as an efficient and effective generative framework for accelerated MRI reconstruction.