Author

G. Rudravaram

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Preprint Oct 2026

Neural fields for adaptive white matter microstructural modeling

Diffusion magnetic resonance imaging (MRI) is sensitive to the micron-level diffusion motion of water molecules, allowing in vivo characterization of white matter architecture in the brain. Microstructural models like diffusion tensors or the Standard Model are typically fit independently on each voxel, limiting their...

Adam M. Saunders, G. Rudravaram, Elyssa M. McMaster et al. · 0 citations

Preprint Oct 2026

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

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 decrease the sensitivity of downstream tasks such as microstructural modeling and tractography. Current fixel-based methods for identifying the num...

Adam M. Saunders, G. Rudravaram, Michael E. Kim et al. · 0 citations

Open access Oct 2026

Harmonizing the National Lung Screening Trial: Kernel resolution and field of view compensation

Low-dose chest computed tomography scans acquired in multi-centre studies exhibit heterogeneity in the form of varying spatial resolution, reconstruction kernel and semantic field-of-view that hinder the reproducibility of quantitative measures and generalizability of downstream analyses. The National Lung Screening Tr...

A. Krishnan, Michael E. Kim, Chen-Yu Gao et al. · PLoS ONE · 0 citations

#artificial intelligence Preprint Oct 2026

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

Incomplete field-of-view (FOV) diffusion MRI (dMRI) acquisitions compromise whole-brain white matter analysis by excluding brain regions from tractography and connectivity studies. While deep generative models for dMRI FOV extension have been proposed, their generalizability remains limited by the acquisition-dependent...

G. Rudravaram, L. Zuo, Ema Topolnjak et al. · 0 citations

Open access Sep 2026

Charting confidence in white matter brain charts: enabling study planning through stability validation

Abstract. Purpose Normative modeling of quantitative brain measurements is being widely adopted as a promising method for charting population-level developmental trajectories and identifying abnormalities in groups and individuals. Generalized additive models for location, scale, and shape (GAMLSS) are a statistical fr...

Michael E. Kim, G. Rudravaram, Adam M. Saunders et al. · Journal of Medical Imaging · 0 citations

Open access Jul 2026

A geometric-to-neural cascade for cerebral microbleed detection in susceptibility-weighted MRI

A fully automated, three-stage cascade pipeline that combines subject-adaptive unsupervised candidate generation with two successive lightweight 3D ResNet classifiers, trained with only human-in-the-loop quality-assurance (QA) labels rather than dense voxel-wise segmentation masks is presented.

Sam Bogdanov, G. Rudravaram, Adam M. Saunders et al. · bioRxiv · 0 citations