C. Ding

发表

Welch-GAN: Generating realistic photoplethysmography signal from frequency-domain for atrial fibrillation detection

Ran Xiao, Karl Meisel, Cheng Ding, 2021 .

Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health

Xiao Hu, R. Xiao, C. Ding, 2022, J. Imaging.

Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss

S. Kalantarian, Duc H. Do, D. S. Lee, 2021, IEEE Journal of Biomedical and Health Informatics.

Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment

Ran Xiao, Karl Meisel, Randall J. Lee, 2021, IEEE Access.

A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables

C. Rudin, Xiao Hu, Zhicheng Guo, 2021, Physiological measurement.

Impact of Label Noise on the Learning Based Models for a Binary Classification of Physiological Signal

Tânia Pereira, Xiao Hu, R. Lee, 2022, Sensors.

Cluster consistency: Simple yet effect robust learning algorithm on large-scale photoplethysmography for atrial fibrillation detection in the presence of real-world label noise

G. Clifford, Amit Shah, Xiao Hu, 2022, 2211.03333.

Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation

Xiao Hu, Kais Gadhoumi, Cheng Ding, 2019, Physiological measurement.

A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables

Xiao Hu, C. Rudin, C. Ding, 2023, arXiv.org.

Generalizability of SuperAlarm via Cross-Institutional Performance Evaluation

Xiao Hu, Ran Xiao, Duc Do, 2020, IEEE Access.

The 2023 wearable photoplethysmography roadmap.

Carmen C. Y. Poon, Stephanie B. Baker, P. Laguna, 2023, Physiological measurement.

Integrating multimodal information in machine learning for classifying acute myocardial infarction

Amit J. Shah, G. Clifford, D. Wright, 2023, Physiological Measurement.

ML for MI - Integrating Multimodal Information in Machine Learning for Predicting Acute Myocardial Infarction

R. Xiao, C. Ding, X. Hu, 2022, medRxiv.

SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection

Duc H. Do, Xiao Hu, Zhicheng Guo, 2023, ArXiv.