activity
20242026
most citedAssessment of Clonal Hematopoiesis of Indeterminate Potential and Future Cardiomyopathy from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 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…

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…

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…

eess.IV2024★ 1 cited

Assessment of Clonal Hematopoiesis of Indeterminate Potential and Future Cardiomyopathy from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population

Jiarui Xing, Sangeon Ryu, Shawn Ahn +7

We propose a novel deep learning framework to identify clonal hematopoiesis of indeterminate potential (CHIP), a somatic mutation condition associated with adverse cardiovascular o…