activity
20162023
most citedEstimation of Fiber Orientations Using Neighborhood Information

23 citations · 26 across the 8 of their papers we have counts for

collaborators

9 papers

eess.IV2023

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

Zhangxing Bian, Shuwen Wei, Yihao Liu +6

Tagged magnetic resonance imaging (tMRI) has been employed for decades to measure the motion of tissue undergoing deformation. However, registration-based motion estimation from tM…

eess.IV2023

Label Propagation via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations

Anqi Feng, Yuan Xue, Yuli Wang +7

Data-driven thalamic nuclei parcellation depends on high-quality manual annotations. However, the small size and low contrast changes among thalamic nuclei, yield annotations that…

eess.IV2023

FastCod: Fast Brain Connectivity in Diffusion Imaging

Zhangxing Bian, Muhan Shao, Jiachen Zhuo +3

Connectivity information derived from diffusion-weighted magnetic resonance images~(DW-MRIs) plays an important role in studying human subcortical gray matter structures. However,…

eess.IV2023

New starting point registration method for tagged MRI tongue motion estimation

Jinglun Yu, Muhan Shao, Zhangxing Bian +4

Accurate tongue motion estimation is essential for tongue function evaluation. The harmonic phase processing (HARP) method and the phase vector incompressible registration algorith…

eess.IV2023★ 1 cited

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

Chang Yan, Muhan Shao, Zhangxing Bian +6

The thalamus is a subcortical gray matter structure that plays a key role in relaying sensory and motor signals within the brain. Its nuclei can atrophy or otherwise be affected by…

eess.IV2023

DRIMET: Deep Registration for 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue

Zhangxing Bian, Fangxu Xing, Jinglun Yu +6

Tagged magnetic resonance imaging~(MRI) has been used for decades to observe and quantify the detailed motion of deforming tissue. However, this technique faces several challenges…

cs.SD2022

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince +4

Understanding the underlying relationship between tongue and oropharyngeal muscle deformation seen in tagged-MRI and intelligible speech plays an important role in advancing speech…

cs.CV2021★ 2 cited

Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis

Xiaofeng Liu, Fangxu Xing, Maureen Stone +5

Self-training based unsupervised domain adaptation (UDA) has shown great potential to address the problem of domain shift, when applying a trained deep learning model in a source d…

cs.CV2016★ 23 cited

Estimation of Fiber Orientations Using Neighborhood Information

Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli +1

Data from diffusion magnetic resonance imaging (dMRI) can be used to reconstruct fiber tracts, for example, in muscle and white matter. Estimation of fiber orientations (FOs) is a…