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20242026
most citedIs Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2026

Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors

Zhangxing Bian, Shuwen Wei, Samuel W. Remedios +4

Tagged MRI enables tracking internal tissue motion non-invasively. It encodes motion by modulating anatomy with periodic tags, which deform along with tissue. However, the entangle…

eess.IV2025

CATNUS: Coordinate-Aware Thalamic Nuclei Segmentation Using T1-Weighted MRI

Anqi Feng, Zhangxing Bian, Samuel W. Remedios +6

Accurate segmentation of thalamic nuclei from magnetic resonance images is important due to the distinct roles of these nuclei in overall brain function and to their differential i…

eess.IV2025

Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution

Anqi Feng, Zhangxing Bian, Samuel W. Remedios +5

Accurate thalamic nuclei segmentation is crucial for understanding neurological diseases, brain functions, and guiding clinical interventions. However, the optimal inputs for segme…

eess.IV2025

Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures

Savannah P. Hays, Lianrui Zuo, Anqi Feng +7

Purpose: Visualization of subcortical gray matter is essential in neuroscience and clinical practice, particularly for disease understanding and surgical planning.While multi-inver…

eess.IV2025

Brightness-Invariant Tracking Estimation in Tagged MRI

Zhangxing Bian, Shuwen Wei, Xiao Liang +10

Magnetic resonance (MR) tagging is an imaging technique for noninvasively tracking tissue motion in vivo by creating a visible pattern of magnetization saturation (tags) that defor…

eess.IV2024

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs

Anqi Feng, Zhangxing Bian, Blake E. Dewey +3

Accurate segmentation of thalamic nuclei is important for better understanding brain function and improving disease treatment. Traditional segmentation methods often rely on a sing…

eess.IV2024★ 1 cited

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

Zhangxing Bian, Ahmed Alshareef, Shuwen Wei +7

Magnetic Resonance Imaging with tagging (tMRI) has long been utilized for quantifying tissue motion and strain during deformation. However, a phenomenon known as tag fading, a grad…