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20232026
most citedPredicting Age from White Matter Diffusivity with Residual Learning

5 citations · 15 across the 13 of their papers we have counts for

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cs.CV2026

Identity-Duplication Auditing in National-Scale Neuroimaging Repositories

Jiheng Li, Michael E. Kim, Trent M. Schwartz +20

National-scale magnetic resonance imaging (MRI) repositories increasingly integrate data from different studies and institutions. However, subject identifiers assigned to study par…

cs.CV2026

SliceBridge: Context-Consistent Repair of Corrupted Slice Intervals in T1-Weighted MRI

Jiheng Li, Michael E. Kim, Trent M. Schwartz +8

Structural magnetic resonance imaging (MRI) images are sometimes corrupted over a contiguous set of slices, where acquisition, motion, hardware, or reconstruction effects leave a s…

cs.CV2024★ 3 cited

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.CV2024★ 1 cited

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…

cs.CV2024★ 4 cited

Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models

Chenyu Gao, Shunxing Bao, Michael Kim +13

Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (F…