collaborators

5 papers

cs.AI2026

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration

Keqi Han, Songlin Zhao, Yao Su +4

Transforming neuroimaging data into clinically actionable biomarkers is a knowledge-intensive and labor-intensive process. Standardized workflows such as fMRIPrep have improved rob…

cs.CV2026

Towards a general-purpose foundation model for fMRI analysis

Cheng Wang, Yu Jiang, Zhihao Peng +18

Functional MRI (fMRI) is crucial for studying brain function and diagnosing neurological disorders. However, existing analysis methods suffer from reproducibility and transferabili…

q-bio.NC2025

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping

Yifei Sun, Marshall A. Dalton, Robert D. Sanders +5

Grey matter loss in the hippocampus is a hallmark of neurobiological aging, yet understanding the corresponding changes in its functional connectivity remains limited. Seed-based f…

cs.CV2025

RadFabric: Agentic AI System with Reasoning Capability for Radiology

Wenting Chen, Yi Dong, Zhaojun Ding +14

Chest X ray (CXR) imaging remains a critical diagnostic tool for thoracic conditions, but current automated systems face limitations in pathology coverage, diagnostic accuracy, and…

q-bio.NC2025

Voxel-Level Brain States Prediction Using Swin Transformer

Yifei Sun, Daniel Chahine, Qinghao Wen +5

Understanding brain dynamics is important for neuroscience and mental health. Functional magnetic resonance imaging (fMRI) enables the measurement of neural activities through bloo…