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.LG2026
Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
Xiaoyu Zheng, Xu Tian, Bin Jiao +4
Patients with dementia typically exhibit cognitive impairment, which is routinely assessed using the Mini-Mental State Examination (MMSE). Concurrently, their underlying neurophysi…
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…