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20232026
most citedPredicting Age from White Matter Diffusivity with Residual Learning

5 citations · 23 across the 27 of their papers we have counts for

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Showing 2025Show all

10 papers · 1 filter

cs.CV2025

MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata

Yihao Liu, Chenyu Gao, Lianrui Zuo +9

Modern deep learning methods have achieved impressive results across tasks from disease classification, estimating continuous biomarkers, to generating realistic medical images. Mo…

eess.IV2025

Quality assurance of the Federal Interagency Traumatic Brain Injury Research (FITBIR) database for multi-site MRI analysis

Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram +8

The Federal Interagency Traumatic Brain Injury Research (FITBIR) database is a centralized data repository for traumatic brain injury (TBI) research. It includes over 45,529 magnet…

q-bio.NC2025

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes

Gaurav Rudravaram, Lianrui Zuo, Adam M. Saunders +12

Structural connectomes are detailed graphs that map how different brain regions are physically connected, offering critical insight into aging, cognition, and neurodegenerative dis…

eess.IV2025

Fully Differentiable dMRI Streamline Propagation in PyTorch

Jongyeon Yoon, Elyssa M. McMaster, Michael E. Kim +4

Diffusion MRI (dMRI) provides a distinctive means to probe the microstructural architecture of living tissue, facilitating applications such as brain connectivity analysis, modelin…

q-bio.QM2025

Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data

Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram +8

Traumatic brain injury (TBI) is intrinsically heterogeneous, and typical clinical outcome measures like the Glasgow Coma Scale complicate this diversity. The large variability in s…

cs.CV2025

Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging

Lucas W. Remedios, Chloe Cho, Trent M. Schwartz +11

Purpose: Understanding how the pancreas changes is critical for detecting deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morph…

cs.CV2025★ 1 cited

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts

Lucas W. Remedios, Chloe Cho, Trent M. Schwartz +10

Purpose: Although elevated BMI is a well-known risk factor for type 2 diabetes, the disease's presence in some lean adults and absence in others with obesity suggests that detailed…

eess.IV2025

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels

Aravind R. Krishnan, Thomas Z. Li, Lucas W. Remedios +12

Reconstruction kernels in computed tomography (CT) affect spatial resolution and noise characteristics, introducing systematic variability in quantitative imaging measurements such…

eess.IV2025

Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD

Aravind R. Krishnan, Yihao Liu, Kaiwen Xu +9

Paired inspiratory-expiratory CT scans enable the quantification of gas trapping due to small airway disease and emphysema by analyzing lung tissue motion in COPD patients. Deforma…

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…