3 papers
eess.SP2026
CAP: Towards PPG Universal Representation Learning with Patient-level Supervision
Chenyang He, Xinyi Shao, Shun Huang +4
Photoplethysmography (PPG) plays a central role in wearable health monitoring and clinical decision support. Yet existing approaches to universal PPG representation learning largel…
cs.LG2026
In-Hospital Stroke Prediction from PPG-Derived Hemodynamic Features
Jiaming Liu, Cheng Ding, Daoqiang Zhang
The absence of pre-hospital physiological data in standard clinical datasets fundamentally constrains the early prediction of stroke, as patients typically present only after strok…
cs.CV2026
Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework
Jiaming Liu, Cheng Ding, Daoqiang Zhang
Accurate brain tumor segmentation from MRI is limited by expensive annotations and data heterogeneity across scanners and sites. We propose a semi-supervised teacher-student framew…