2 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Pulseflow: PPG Counterfactual Generation Via Latent Transport
Hung Manh Pham, Dong Ma, Bin Zhu +1
Photoplethysmography (PPG) has become an important modality for continuous cardiovascular monitoring, including atrial fibrillation (AF) detection. However, labeled AF recordings r…
CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
Hamza Shafiq, Hung Manh Pham, Bin Zhu +3
Electrocardiography (ECG), photoplethysmography (PPG), and phonocardiography (PCG) provide complementary views of the same cardiac cycle, yet existing cardiac foundation models are…
Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment
Mustafa Talha İlerisoy, Hung Manh Pham, Mathias Funk +2
Self-supervised respiratory encoders lack semantic grounding in clinical domain needed for zero-shot inference, limiting their utility without task-specific labeled data. We propos…
Learning ECG Image Representations via Dual Physiological-Aware Alignments
Hung Manh Pham, Jialu Tang, Aaqib Saeed +3
Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular diseases, and a large amount of ECG data worldwide appears only in image form. However,…
PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
Hung Manh Pham, Jinyang Wu, Xiao Ma +6
Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable setti…