collaborators

7 papers

cs.LG2026

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis

Peiyu Duan, Jiyao Wang, Nicha C. Dvornek +4

Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and difficult to acquire at scale, motivating rest-to-task synthesis from widely avail…

cs.LG2026

Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning

Jiyao Wang, Peiyu Duan, Nicha C. Dvornek +4

Functional magnetic resonance imaging (fMRI) is a powerful tool for investigating human brain function. However, the high cost of data acquisition and the inherent subjectivity of…

cs.CV2026

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

Junlin Yang, Tian Yu, Nicha C. Dvornek +6

Hepatocellular carcinoma (HCC) is biologically heterogeneous, shaped by the interplay between hepatic functional reserve and tumor-related oncologic factors; thus, similar survival…

cs.CV2026

AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification

Peiyu Duan, Xueqi Guo, Sepehr Farhand +5

Accurate 3D brain MRI subtype classification benefits from both localized anatomical cues and long-range contextual reasoning. We present AGA3DNet, a report-grounded framework that…

cs.LG2025

STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC

Jiyao Wang, Nicha C. Dvornek, Peiyu Duan +3

In recent years, graph neural networks (GNNs) have been widely applied in the analysis of brain fMRI, yet defining the connectivity between ROIs remains a challenge in noisy fMRI d…

eess.IV2025

Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification

Peiyu Duan, Nicha C. Dvornek, Jiyao Wang +2

Autism spectrum disorder (ASD) is a neurological and developmental disorder that affects social and communicative behaviors. It emerges in early life and is generally associated wi…