2 citations · 2 across the 7 of their papers we have counts for
8 papers
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…
CultureVidBench: Benchmarking Cultural Understanding in Text-to-Video Generation
Xianjing Han, Yuhan Su, Yang Deng +3
Text-to-video (T2V) generation models have advanced rapidly, yet their ability to represent diverse cultural contexts remains underexplored. Existing benchmarks mainly focus on per…
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…
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Jialu Tang, Hung Manh Pham, Ignace De Lathauwer +4
Electrocardiogram (ECG) interpretation is essential for cardiovascular disease diagnosis, but current automated systems often struggle with transparency and generalization to unsee…
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs
Hung Manh Pham, Jialu Tang, Aaqib Saeed +1
Electrocardiography (ECG) offers critical cardiovascular insights, such as identifying arrhythmias and myocardial ischemia, but enabling automated systems to answer complex clinica…
Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact
Manh Pham Hung, Matthew Yiwen Ho, Yiming Zhang +3
Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. Whi…
Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
Hung Manh Pham, Aaqib Saeed, Dong Ma
The accurate interpretation of Electrocardiogram (ECG) signals is pivotal for diagnosing cardiovascular diseases. Integrating ECG signals with accompanying textual reports further…