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20242026
most citedSensitivity of quantitative diffusion MRI tractography and microstructure to anisotropic spatial sampling

1 citations · 1 across the 12 of their papers we have counts for

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eess.IV2026

Separating mixtures of single-fiber orientation distributions for increased sensitivity to crossing white matter fibers

Adam M. Saunders, Gaurav Rudravaram, Michael E. Kim +10

Intro: Diffusion MRI allows for in vivo probing of brain tissue architecture via micron-level diffusion aggregated at the millimeter scale, but crossing white matter fibers decreas…

cs.AI2026

Generalizable field of view extension for diffusion MRI via conditional flow matching

Gaurav Rudravaram, Lianrui Zuo, Ema Topolnjak +22

Incomplete field-of-view (FOV) diffusion MRI (dMRI) acquisitions compromise whole-brain white matter analysis by excluding brain regions from tractography and connectivity studies.…

eess.IV2026

Large-Scale Deployment and Analytical Implications of Structured Quality Control in Diffusion Magnetic Resonance Imaging

Michael E. Kim, Chenyu Gao, Karthik Ramadass +17

Purpose: Diffusion MRI (dMRI) provides a diverse set of quantitative measures and derived datatypes to assess white matter microstructure and macrostructure. Coupled with the incre…

cs.LG2026

Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling

Gaurav Rudravaram, Lianrui Zuo, Karthik Ramadass +17

Acquisition differences across sites, scanners, and protocols in dMRI introduce variability that complicates structural connectome analysis. This motivates deep learning models tha…

eess.IV2026

Evaluation of neuroCombat and deep learning harmonization for multi-site magnetic resonance neuroimaging in youth with prenatal alcohol exposure

Chloe Scholten, Elyssa M. McMaster, Adam M. Saunders +8

In cases of prevalent diseases and disorders, such as Prenatal Alcohol Exposure (PAE), multi-site data collection allows for increased study samples. However, multi-site studies in…

eess.IV2026

Harmonization mitigates diffusion MRI scanner effects in infancy: insights from the HEALthy Brain and Childhood Development (HBCD) study

Elyssa M. McMaster, Gaurav Rudravaram, Michael E. Kim +17

The HEALthy Brain and Childhood Development (HBCD) Study is an ongoing longitudinal initiative to understand population-level brain maturation; however, large-scale studies must ov…

eess.IV2026

Personalized White Matter Bundle Segmentation for Early Childhood

Elyssa M. McMaster, Michael E. Kim, Nancy R. Newlin +12

White matter segmentation methods from diffusion magnetic resonance imaging range from streamline clustering-based approaches to bundle mask delineation, but none have proposed a p…