5 papers
TRACE: Tractable Routing Autoencoder for Clinical ECG
Shunbo Jia, Runze Ma, Haonan Lyu +3
Deep learning has advanced automated electrocardiogram (ECG) diagnosis, but the field's most accurate models, foundation models pretrained on millions of recordings, are not decisi…
LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
Runze Ma, Shunbo Jia, Haonan Lyu +2
The reasoning gap between large and compact vision-language models (VLMs) limits the deployment of medical AI on portable clinical devices. Compact VLMs of 2-4B parameters can run…
BEAT-Net: Injecting Biomimetic Spatio-Temporal Priors for Interpretable ECG Diagnosis
Runze Ma, Haonan Lyu, Caizhi Liao +5
Automated electrocardiogram diagnosis using deep learning remains limited by signal-agnostic representations that treat multi-lead recordings as undifferentiated time-series or ima…
CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
Shunbo Jia, Caizhi Liao
Deep learning models for Electrocardiogram (ECG) diagnosis have achieved remarkable accuracy but exhibit fragility against adversarial perturbations, particularly Smooth Adversaria…
SCAR: Semantic Cardiac Adversarial Representation via Spatiotemporal Manifold Optimization in ECG
Shunbo Jia, Caizhi Liao
Deep learning models for Electrocardiogram (ECG) analysis have achieved expert-level performance but remain vulnerable to adversarial attacks. However, applying Universal Adversari…