no code implementations • 19 Feb 2024 • Savannah P. Hays, Lianrui Zuo, Yihao Liu, Anqi Feng, Jiachen Zhuo, Jerry L. Prince, Aaron Carass
Subsequently, this estimated deformation is applied to align the paired WMn counterpart of the moving CSFn image, yielding a synthetic WMn image for the fixed CSFn image.
no code implementations • 10 Feb 2024 • Xiaofeng Liu, Fangxu Xing, Jiachen Zhuo, Maureen Stone, Jerry L. Prince, Georges El Fakhri, Jonghye Woo
In this work, we aim to develop a framework for detecting speech motion anomalies in conjunction with their corresponding speech acoustics.
no code implementations • 31 Jan 2024 • Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince
This is a factor that has been overlooked in prior research on tMRI post-processing.
no code implementations • 26 Sep 2023 • Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Sidney Fels, Jerry L. Prince, Georges El Fakhri, Jonghye Woo
The tongue's intricate 3D structure, comprising localized functional units, plays a crucial role in the production of speech.
no code implementations • 5 Aug 2023 • Zhangxing Bian, Shuwen Wei, Yihao Liu, Junyu Chen, Jiachen Zhuo, Fangxu Xing, Jonghye Woo, Aaron Carass, Jerry L. Prince
We introduce a novel "momenta, shooting, and correction" framework for Lagrangian motion estimation in the presence of repetitive patterns and large motion.
no code implementations • 23 May 2023 • Xiaofeng Liu, Jerry L. Prince, Fangxu Xing, Jiachen Zhuo, Reese Timothy, Maureen Stone, Georges El Fakhri, Jonghye Woo
We evaluated our framework on two cross-scanner/center, inter-subject translation tasks, including tagged-to-cine magnetic resonance (MR) image translation and T1-weighted MR-to-fractional anisotropy translation.
no code implementations • 30 Mar 2023 • Anqi Feng, Yuan Xue, Yuli Wang, Chang Yan, Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince
Data-driven thalamic nuclei parcellation depends on high-quality manual annotations.
no code implementations • 18 Feb 2023 • Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince
Connectivity information derived from diffusion-weighted magnetic resonance images~(DW-MRIs) plays an important role in studying human subcortical gray matter structures.
no code implementations • 8 Feb 2023 • Jinglun Yu, Muhan Shao, Zhangxing Bian, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry L. Prince
Accurate tongue motion estimation is essential for tongue function evaluation.
1 code implementation • 18 Jan 2023 • Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jiachen Zhuo, Jonghye Woo, Jerry L. Prince
We show that the method outperforms existing approaches, and also exhibits improvements in speed, robustness to tag fading, and large tongue motion.
no code implementations • 15 Jan 2023 • Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince
After registration of these contrasts and isolation of the thalamus, we use the uniform manifold approximation and projection (UMAP) method for dimensionality reduction to produce a low-dimensional representation of the data within the thalamus.
no code implementations • 5 Jun 2022 • Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Jiachen Zhuo, Maureen Stone, Georges El Fakhri, Jonghye Woo
Understanding the underlying relationship between tongue and oropharyngeal muscle deformation seen in tagged-MRI and intelligible speech plays an important role in advancing speech motor control theories and treatment of speech related-disorders.
no code implementations • 23 Jun 2021 • Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Reese Timothy, Jerry L. Prince, Georges El Fakhri, Jonghye Woo
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 domain to unlabeled target domains.
no code implementations • 16 Jan 2016 • Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince
Data from diffusion magnetic resonance imaging (dMRI) can be used to reconstruct fiber tracts, for example, in muscle and white matter.