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20212026
most citedAn AO-ADMM approach to constraining PARAFAC2 on all modes

29 citations · 40 across the 28 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis

Zijiao Chen, Nicholas Lu, Xinhui Li +14

AI agents can execute scientific analyses, but an analytic output becomes a defensible claim only after alternatives are weighed and the claim is limited to what the evidence suppo…

stat.ME2026

AdaptICA: Data-Adaptive Transformation Learning for Independent Component Analysis

Lida Jalili, Jingyu Liu, Vince D. Calhoun +1

Independent component analysis (ICA) is widely used to recover latent structure from signal and imaging data, but standard ICA assumes that the observed measurement scale preserves…

cs.LG2026

Latent graph encoding of multimodal neuroimaging features with generative AI architectures

Ishaan Batta, Meenu Ajith, Vince Calhoun

While generative models enable encoding of complex neuroimaging data for feature generation and reconstruction, developing optimal architectural frameworks with appropriate encodin…

cs.CV2026

ReMAP-PET: Beyond Visual Understanding -- Learning Region-Guided Metabolic Alignment Semantics from Brain PET

Dasen Dai, Yanteng Zhang, Shuoqi Li +6

Positron Emission Tomography (PET) reveals brain metabolism and is clinically central to neurodegenerative disease assessment, yet existing 3D brain foundation models treat PET as…

cond-mat.stat-mech2026

Timescale Coalescence Makes Hidden Persistent Forcing Spectrally Dark

Yuda Bi, Chenyu Zhang, Vince D Calhoun

Under coarse observation, unresolved slow forcing can remain dynamically active yet locally invisible to reduced spectral inference. For a solvable driven AR benchmark, the lo…

cs.LG2026

A 1/R Law for Kurtosis Contrast in Balanced Mixtures

Yuda Bi, Wenjun Xiao, Linhao Bai +1

Kurtosis-based Independent Component Analysis (ICA) weakens in wide, balanced mixtures. We prove a sharp redundancy law: for a standardized projection with effective width $R_{\mat…

q-bio.NC2026

KOCOBrain: Kuramoto-Guided Graph Network for Uncovering Structure-Function Coupling in Adolescent Prenatal Drug Exposure

Badhan Mazumder, Lei Wu, Sir-Lord Wiafe +2

Exposure to psychoactive substances during pregnancy, such as cannabis, can disrupt neurodevelopment and alter large-scale brain networks, yet identifying their neural signatures r…