activity
20232026
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…

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…

eess.IV2025

Towards Zero-Shot Task-Generalizable Learning on fMRI

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

Functional MRI measuring BOLD signal is an increasingly important imaging modality in studying brain functions and neurological disorders. It can be acquired in either a resting-st…

q-bio.NC2024

Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder

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

Children with Autism Spectrum Disorder (ASD) frequently exhibit comorbid anxiety, which contributes to impairment and requires treatment. Therefore, it is critical to investigate c…

cs.LG2024

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.IV2023

Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation

Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib +1

Insufficiency of training data is a persistent issue in medical image analysis, especially for task-based functional magnetic resonance images (fMRI) with spatio-temporal imaging d…