3 papers
cs.CV2026
Benchmark Evaluation of Federated Learning on Multi-organ Images
Junbin Mao, Xu Tian, Jianchun Zhu +2
The privacy requirements of medical data and its substantial variations across organs and modalities hinder the clinical implementation of medical AI. Federated learning (FL) is a…
cs.LG2025
CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
Ludi Li, Junbin Mao, Hanhe Lin +3
Multi-pulse magnetic resonance imaging (MRI) is widely utilized for clinical practice such as Alzheimer's disease diagnosis. To train a robust model for multi-pulse MRI classificat…
cs.LG2025
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Jin Liu, Junbin Mao, Hanhe Lin +6
Due to its complexity, graph learning-based multi-modal integration and classification is one of the most challenging obstacles for disease prediction. To effectively offset the ne…