B. Jiang

activity

20222025

most citedUncertainty-Aware Self-supervised Neural Network for Liver

T_{1 ρ}

Mapping with Relaxation Constraint

8 citations · 12 across the 4 of their papers we have counts for

collaborators

Showing physics.med-phShow all

3 papers · 1 filter

physics.med-ph2025

Quantitative Macromolecular Proton Fraction Imaging using Pulsed Spin-Lock

Qianxue Shan, Ziqiang Yu, Baiyan Jiang +5

Purpose: Recent studies have shown that spin-lock MRI can simplify quantitative magnetization transfer (MT) by eliminating its dependency on water pool parameters, removing the nee…

physics.med-ph2024★ 4 cited

Orientation independent quantification of macromolecular proton fraction in tissues with suppression of residual dipolar coupling

Zijian Gao, Ziqiang Yu, Ziqin Zhou +4

Quantitative magnetization transfer (MT) imaging enables non-invasive characterization of the macromolecular environment of tissues. However, recent work has highlighted that the q…

physics.med-ph2023

Uncertainty-weighted Multi-tasking for $T_{1 ρ}$ and T $_{2}$ Mapping in the Liver with Self-supervised Learning

Chaoxing Huang, Yurui Qian, Jian Hou +5

Multi-parametric mapping of MRI relaxations in liver has the potential of revealing pathological information of the liver. A self-supervised learning based multi-parametric mapping…

Quantitative Macromolecular Proton Fraction Imaging using Pulsed Spin-Lock

Orientation independent quantification of macromolecular proton fraction in tissues with suppression of residual dipolar coupling

Uncertainty-weighted Multi-tasking for T1ρ​ and T2​ Mapping in the Liver with Self-supervised Learning

Uncertainty-weighted Multi-tasking for $T_{1 ρ}$ and T $_{2}$ Mapping in the Liver with Self-supervised Learning