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20112023
most citedA review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

1.1k citations · 1.4k across the 38 of their papers we have counts for

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Showing 2023Show all

15 papers · 1 filter

cs.SD2023

Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer

Xiaofeng Liu, Fangxu Xing, Maureen Stone +5

The tongue's intricate 3D structure, comprising localized functional units, plays a crucial role in the production of speech. When measured using tagged MRI, these functional units…

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★ 7 cited

A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond

Junyu Chen, Yihao Liu, Shuwen Wei +5

Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade. The initial developments, such as regression-based and U-Net-bas…

eess.IV2023

Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation

Xiaofeng Liu, Jerry L. Prince, Fangxu Xing +5

Self-training is an important class of unsupervised domain adaptation (UDA) approaches that are used to mitigate the problem of domain shift, when applying knowledge learned from a…

eess.IV2023

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee

Peiyu Duan, Yuan Xue, Shuo Han +8

The meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura. Reconstruction of these layers can aid in studying v…

eess.IV2023★ 1 cited

Optimal operating MR contrast for brain ventricle parcellation

Savannah P. Hays, Lianrui Zuo, Yuli Wang +3

Development of MR harmonization has enabled different contrast MRIs to be synthesized while preserving the underlying anatomy. In this paper, we use image harmonization to explore…

eess.IV2023

DrDisco: Deep Registration for Distortion Correction of Diffusion MRI with single phase-encoding

Zhangxing Bian, Muhan Shao, Aaron Carass +1

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-invasive way of imaging white matter tracts in the human brain. DW-MRIs are usually acquired using echo-planar imagi…

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

Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly

Yuli Wang, Anqi Feng, Yuan Xue +6

Normal pressure hydrocephalus~(NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms. The degree of ventricular enlargement can be…

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

Synthesizing audio from tongue motion during speech using tagged MRI via transformer

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince +3

Investigating the relationship between internal tissue point motion of the tongue and oropharyngeal muscle deformation measured from tagged MRI and intelligible speech can aid in a…

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

A latent space for unsupervised MR image quality control via artifact assessment

Lianrui Zuo, Yuan Xue, Blake E. Dewey +3

Image quality control (IQC) can be used in automated magnetic resonance (MR) image analysis to exclude erroneous results caused by poorly acquired or artifact-laden images. Existin…

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…