activity
20242026
collaborators

10 papers

eess.IV2026

Harmonizing MR Images Across 100+ Scanners: Multi-site Validation with Traveling Subjects and Real-world Protocols

Savannah P. Hays, Lianrui Zuo, Muhammad Faizyab Ali Chaudhary +13

Reliable harmonization of heterogeneous magnetic resonance~(MR) image datasets, especially those acquired in pragmatic clinical trials, is critical to advance multi-center neuroima…

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

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

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

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…

cs.CV2025

A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRI

Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Fangxu Xing +9

Understanding the relationship between vocal tract motion during speech and the resulting acoustic signal is crucial for aided clinical assessment and developing personalized treat…