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cs.LG2026

MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity

Victor Solomon, Zening Fu, Rafal Angryk +2

Multimodal fusion of structural MRI (sMRI) and dynamic functional network connectivity (dFNC) can reveal how brain structure relates to changing functional states. When the same st…

cs.LG2025

Causal Graph Recovery in Neuroimaging through Answer Set Programming

Mohammadsajad Abavisani, Kseniya Solovyeva, David Danks +2

Learning graphical causal structures from time series data presents significant challenges, especially when the measurement frequency does not match the causal timescale of the sys…

cs.LG2024

Generalized Dynamic Brain Functional Connectivity Based on Random Convolutions

Yongjie Duan, Vince D. Calhoun, Zhiying Long

Dynamic functional connectivity (DFC) analysis has been widely applied to functional magnetic resonance imaging (fMRI) data to reveal time-varying dynamic changes of brain states.…

cs.LG2024

Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment

Bradley T. Baker, Mustafa S. Salman, Zening Fu +4

In the clinical treatment of mood disorders, the complex behavioral symptoms presented by patients and variability of patient response to particular medication classes can create d…

cs.LG2024

Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse

Bradley T. Baker, Barak A. Pearlmutter, Robyn Miller +2

Our understanding of learning dynamics of deep neural networks (DNNs) remains incomplete. Recent research has begun to uncover the mathematical principles underlying these networks…