4 papers
HiMatch-AD: DINOv3-driven Hierarchical Matching for Training-free Medical Anomaly Detection
Jiayu Huo, Jingyuan Hong, Meng Zhou +2
Anomaly detection is essential for medical image analysis, where pathological regions often appear as rare deviations from normal anatomical structures. While training-based method…
A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography
Ziqing Yu, Yuhui Tao, Jiayu Huo +19
Electrocardiography (ECG) is central to cardiovascular care, but conventional AI models are often restricted to common arrhythmias and may generalize poorly across populations or c…
DINO-AD: Unsupervised Anomaly Detection with Frozen DINO-V3 Features
Jiayu Huo, Jingyuan Hong, Liyun Chen
Unsupervised anomaly detection (AD) in medical images aims to identify abnormal regions without relying on pixel-level annotations, which is crucial for scalable and label-efficien…
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
Yang Liu, Peiran Wu, Jiayu Huo +7
Unsupervised video-based surgical instrument segmentation has the potential to accelerate the adoption of robot-assisted procedures by reducing the reliance on manual annotations.…