Generalizability of SuperAlarm via Cross-Institutional Performance Evaluation. - Ran Xiao; Duc H. Do; Cheng Ding; Karl Meisel; Randall J. Lee; Xiao Hu 002 (IEEE Access, 2020)

Photoplethysmography based atrial fibrillation detection: a review. - Tânia Pereira 001; Nate Tran; Kais Gadhoumi; Michele M. Pelter; Duc H. Do; Randall J. Lee; Rene Colorado; Karl Meisel; Xiao Hu 002 (npj Digit. Medicine, 2020)

Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment. - Oliver Zhang; Cheng Ding; Tânia Pereira 001; Ran Xiao; Kais Gadhoumi; Karl Meisel; Randall J. Lee; Yiran Chen 001; Xiao Hu 002 (IEEE Access, 2021)

Impact of Label Noise on the Learning Based Models for a Binary Classification of Physiological Signal. - Cheng Ding; Tânia Pereira 001; Ran Xiao; Randall J. Lee; Xiao Hu 002 (Sensors, 2022)

SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection. - Zhicheng Guo; Cheng Ding; Duc H. Do; Amit J. Shah; Randall J. Lee; Xiao Hu 002; Cynthia Rudin (CoRR, 2023)

Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss. - Cheng Ding; Ran Xiao; Duc H. Do; David Scott Lee; Randall J. Lee; Shadi Kalantarian; Xiao Hu 002 (IEEE J. Biomed. Health Informatics, 2023)

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals. - Runze Yan; Cheng Ding; Ran Xiao; Alex Fedorov; Randall J. Lee; Fadi B. Nahab; Xiao Hu 002 (CHIL, 2024)

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals. - Runze Yan; Cheng Ding; Ran Xiao; Aleksandr Fedorov; Randall J. Lee; Fadi B. Nahab; Xiao Hu 002 (CoRR, 2024)

SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals. - Cheng Ding; Zhicheng Guo; Zhaoliang Chen; Randall J. Lee; Cynthia Rudin; Xiao Hu 002 (CoRR, 2024)

Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms. - Cheng Ding; Zhicheng Guo; Cynthia Rudin; Ran Xiao; Amit J. Shah; Duc H. Do; Randall J. Lee; Gari D. Clifford; Fadi B. Nahab; Xiao Hu 002 (IEEE J. Biomed. Health Informatics, 2024)

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model. - Saurabh Kataria 001; Ran Xiao; Timothy Ruchti; Matthew Clark; Jiaying Lu 001; Randall J. Lee; Jocelyn Grunwell; Xiao Hu 002 (CoRR, 2025)

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals. - Zhaoliang Chen; Cheng Ding; Saurabh Kataria 001; Runze Yan; Minxiao Wang; Randall J. Lee; Xiao Hu 002 (CoRR, 2025)