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N. Sinha

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#artificial intelligence Preprint Sep 2026

PHASE: A Physiology-Guided Hierarchical Foundation Model for Intracranial EEG

Clinicians and neuroscientists have long analyzed intracranial electroencephalography (iEEG) through directly measurable physiological characteristics, which carry much of the information that downstream tasks depend on. Recent iEEG foundation models learn by reconstructing or predicting their inputs, which leaves the...

Yi-Peng Zhang, Chen-Da Duan, Yuan-Yi Ding et al. · 0 citations
Open access Aug 2026

Mapping Whole-Brain Factors of Microstructural Similarity with Diffusion MRI

Using multi-shell dMRI, whole-brain variability and covariability across 26 dMRI statistics derived from five reconstruction models are quantified, and a framework for concise dMRI metric selection for comprehensive microstructural investigations is supported.

Marc Jaskir, A. Lucas, Daniel J. Zhou et al. · 0 citations

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