Author

Zhi-Yuan Li

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Open access Oct 2026

UPER: A Unified Polyhedral Representation for universal multi-dimensional diffusion MRI image modeling.

Medical computer vision presents unique challenges compared to natural images, largely due to the high dimensionality of the data (e.g., 3D and 4D imaging) and limited training samples. Certain medical imaging modalities, such as Diffusion-weighted Magnetic Resonance Imaging (dMRI) - a critical tool for examining brain...

Tian-Yuan Yao, Zhi-Yuan Li, Michael E. Kim et al. · Medical Image Analysis · 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

Is correction for gradient nonlinearity necessary in a brain diffusion tensor MRI clinical study?

A simple power analysis indicates that these subtle effects of gradient nonlinearity correction can become statistically detectable in larger multi-site studies exceeding ~1000 subjects, suggesting that GNL should be considered and, where possible, corrected or at least quantified in such settings.

Praitayini Kanakaraj, Tianyuan Yao, Zhiyuan Li et al. · PLoS ONE · 0 citations