7 papers
Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis
Jin Dai, Qiuzhen Zhang, Chenyun Dai +2
The paper introduces Angular Gaussian Supervised Contrastive Learning (AG‑SCL), a method that combines anisotropic contrastive embeddings, adaptive logit adjustment, and tail‑aware…
EMGFlow: Robust and Efficient Surface Electromyography Synthesis via Flow Matching
Boxuan Jiang, Chenyun Dai, Can Han
Deep learning-based surface electromyography (sEMG) gesture recognition is frequently bottlenecked by data scarcity and limited subject diversity. While synthetic data generation v…
SASG-DA: Sparse-Aware Semantic-Guided Diffusion Augmentation For Myoelectric Gesture Recognition
Chen Liu, Can Han, Weishi Xu +2
Surface electromyography (sEMG)-based gesture recognition plays a critical role in human-machine interaction (HMI), particularly for rehabilitation and prosthetic control. However,…
Fusion of Spatio-Temporal and Multi-Scale Frequency Features for Dry Electrodes MI-EEG Decoding
Tianyi Gong, Can Han, Junxi Wu +1
Dry-electrode Motor Imagery Electroencephalography (MI-EEG) enables fast, comfortable, real-world Brain Computer Interface by eliminating gels and shortening setup for at-home and…
MICCAI STSR 2025 Challenge: Semi-Supervised Teeth and Pulp Segmentation and CBCT-IOS Registration
Yaqi Wang, Zhi Li, Chengyu Wu +15
Cone-Beam Computed Tomography (CBCT) and Intraoral Scanning (IOS) are essential for digital dentistry, but annotated data scarcity limits automated solutions for pulp canal segment…
MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images
Yaqi Wang, Zhi Li, Chengyu Wu +19
Orthopantomogram (OPGs) and Cone-Beam Computed Tomography (CBCT) are vital for dentistry, but creating large datasets for automated tooth segmentation is hindered by the labor-inte…