Qinghao Zhao

According to our database, Qinghao Zhao authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment.

Gongzheng Tang, Qinghao Zhao, Guangkun Nie, Yujie Xiao, Shijia Geng, Donglin Xie, Shun Huang, Deyun Zhang, Xingchen Yao, Jinwei Wang, Kangyin Chen, Luxia Zhang, Shenda Hong

CoRR, March, 2026

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning.

Jiaze Wang, Qinghao Zhao, Zizheng Chen, Zhejun Sun, Deyun Zhang, Yuxi Zhou, Shenda Hong

CoRR, February, 2026

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling.

Jun Li, Hongling Zhu, Yujie Xiao, Qinghao Zhao, Yalei Ke, Gongzheng Tang, Guangkun Nie, Deyun Zhang, Jin Li, Canqing Yu, Shenda Hong

CoRR, January, 2026

2025

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes.

Yujie Xiao, Gongzhen Tang, Deyun Zhang, Jun Li, Guangkun Nie, Haoyu Wang, Shun Huang, Tong Liu, Qinghao Zhao, Kangyin Chen, Shenda Hong

CoRR, December, 2025

Artificial Intelligence-Enabled Spirometry for Early Detection of Right Heart Failure.

Bin Liu, Qinghao Zhao, Yuxi Zhou, Zhejun Sun, Kaijie Lei, Deyun Zhang, Shijia Geng, Shenda Hong

CoRR, November, 2025

AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals.

Yujie Xiao, Gongzhen Tang, Wenhui Liu, Jun Li, Guangkun Nie, Zhuoran Kan, Deyun Zhang, Qinghao Zhao, Shenda Hong

CoRR, October, 2025

Reconstructing 12-Lead ECG from 3-Lead ECG using Variational Autoencoder to Improve Cardiac Disease Detection of Wearable ECG Devices.

Xinyan Guan, Yongfan Lai, Jiarui Jin, Jun Li, Haoyu Wang, Qinghao Zhao, Deyun Zhang, Shijia Geng, Shenda Hong

CoRR, October, 2025

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images.

Shanwei Zhang, Deyun Zhang, Yirao Tao, Kexin Wang, Shijia Geng, Jun Li, Qinghao Zhao, Xingpeng Liu, Yuxi Zhou, Shenda Hong

CoRR, August, 2025

ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model.

Yongfan Lai, Bo Liu, Xinyan Guan, Qinghao Zhao, Hongyan Li, Shenda Hong

CoRR, August, 2025

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations.

Deyun Zhang, Xiang Lan, Shijia Geng, Qinghao Zhao, Sumei Fan, Mengling Feng, Shenda Hong

CoRR, July, 2025

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images.

Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng

CoRR, March, 2025

Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments.

Sumei Fan, Deyun Zhang, Yue Wang, Shijia Geng, Kun Lu, Meng Sang, Weilun Xu, Haixue Wang, Qinghao Zhao, Chuandong Cheng, Peng Wang, Shenda Hong

CoRR, February, 2025

DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information.

Yongfan Lai, Jiabo Chen, Qinghao Zhao, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong

Patterns, 2025

A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm.

Jun Lei, Yuxi Zhou, Xue Tian, Qinghao Zhao, Qi Zhang, Shijia Geng, Qingbo Wu, Shenda Hong

Biomed. Signal Process. Control., 2025

2024

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.

Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong

Health Inf. Sci. Syst., December, 2024

Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health.

Guangkun Nie, Qinghao Zhao, Gongzheng Tang, Jun Li, Shenda Hong

CoRR, 2024

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.

Shuhao Mei, Yuxi Zhou, Jiahao Xu, Yuxuan Wan, Shan Cao, Qinghao Zhao, Shijia Geng, Junqing Xie, Shenda Hong

CoRR, 2024

A Review of Deep Learning Methods for Photoplethysmography Data.

Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong

CoRR, 2024

2023

Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images.

Deyun Zhang, Shijia Geng, Yang Zhou, Weilun Xu, Guodong Wei, Kai Wang, Jie Yu, Qiang Zhu, Yongkui Li, Yonghong Zhao, Xingyue Chen, Rui Zhang, Zhaoji Fu, Rongbo Zhou, Yanqi E, Sumei Fan, Qinghao Zhao, Chuandong Cheng, Nan Peng, Liang Zhang, Linlin Zheng, Jianjun Chu, Hongbin Xu, Chen Tan, Jian Liu, Huayue Tao, Tong Liu, Kangyin Chen, Chenyang Jiang, Xingpeng Liu, Shenda Hong

CoRR, 2023

2022

A BNN Accelerator Based on Edge-skip-calculation Strategy and Consolidation Compressed Tree.

Gaoming Du, Bangyi Chen, Zhenmin Li, Zhenxing Tu, Junjie Zhou, Shenya Wang, Qinghao Zhao, Yongsheng Yin, Xiaolei Wang

ACM Trans. Reconfigurable Technol. Syst., 2022