most citedScalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets

1 citations · 2 across the 2 of their papers we have counts for

collaborators

8 papers

physics.med-ph2025

Robust Containerization of the High Angular Resolution Functional Imaging (HARFI) Pipeline

Zhiyuan Li, Kurt G. Schilling, Bennett A. Landman

Historically, functional magnetic resonance imaging (fMRI) of the brain has focused primarily on gray matter, particularly the cortical gray matter and associated nuclei. However,…

eess.IV2025

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential

Chenyu Gao, Kaiwen Xu, Michael E. Kim +11

Defacing is often applied to head magnetic resonance image (MRI) datasets prior to public release to address privacy concerns. The alteration of facial and nearby voxels has provok…

eess.IV2025

Polyhedra Encoding Transformers: Enhancing Diffusion MRI Analysis Beyond Voxel and Volumetric Embedding

Tianyuan Yao, Zhiyuan Li, Praitayini Kanakaraj +6

Diffusion-weighted Magnetic Resonance Imaging (dMRI) is an essential tool in neuroimaging. It is arguably the sole noninvasive technique for examining the microstructural propertie…

cs.CV2024

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease

Chenyu Gao, Michael E. Kim, Karthik Ramadass +27

Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting ea…

cs.DC20241 cited

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets

Michael E. Kim, Chenyu Gao, Karthik Ramadass +16

Proper quality control (QC) is time consuming when working with large-scale medical imaging datasets, yet necessary, as poor-quality data can lead to erroneous conclusions or poorl…

cs.CV2024

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI

Zhiyuan Li, Chenyu Gao, Praitayini Kanakaraj +13

An incomplete field-of-view (FOV) in diffusion magnetic resonance imaging (dMRI) can severely hinder the volumetric and bundle analyses of whole-brain white matter connectivity. Al…