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20212025
most citedEnhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging

1 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement

Xinyi Wang, Michael Barnett, Frederique Boonstra +15

Fiber orientation distribution (FOD) is an advanced diffusion MRI modeling technique that represents complex white matter fiber configurations, and a key step for subsequent brain…

eess.IV2024

Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning

Sheng Chen, Zihao Tang, Xinyi Wang +2

Diffusion magnetic resonance imaging (dMRI) is a crucial technique in neuroimaging studies, allowing for the non-invasive probing of the underlying structures of brain tissues. Cli…

cs.CV2024★ 1 cited

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging

Sheng Chen, Zihao Tang, Mariano Cabezas +6

Diffusion-weighted imaging (DWI) is a type of Magnetic Resonance Imaging (MRI) technique sensitised to the diffusivity of water molecules, offering the capability to inspect tissue…

eess.IV2023★ 1 cited

Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI

Sheng Chen, Zihao Tang, Dongnan Liu +5

Precise thigh muscle volumes are crucial to monitor the motor functionality of patients with diseases that may result in various degrees of thigh muscle loss. T1-weighted MRI is th…

eess.IV2022

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging

Zihao Tang, Xinyi Wang, Lihaowen Zhu +5

Diffusion Weighted Imaging (DWI) is an advanced imaging technique commonly used in neuroscience and neurological clinical research through a Diffusion Tensor Imaging (DTI) model. V…

eess.IV2022★ 1 cited

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

Dongnan Liu, Mariano Cabezas, Dongang Wang +16

Federated learning (FL) has been widely employed for medical image analysis to facilitate multi-client collaborative learning without sharing raw data. Despite great success, FL's…

cs.CV2021

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications

Yang Ma, Chaoyi Zhang, Mariano Cabezas +6

Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central nervous system, characterized by the appearance of focal lesions in the white and gray mat…