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