Zhengyao Ding

According to our database, Zhengyao Ding authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Improves Cardiac Disease Classification and Phenotype Prediction.

Xiaocheng Fang, Zhengyao Ding, Jieyi Cai, Yujie Xiao, Bo Liu, Jiarui Jin, Haoyu Wang, Guangkun Nie, Shun Huang, Ting Chen, Hongyan Li, Shenda Hong

CoRR, January, 2026

AI modeling photoplethysmography to electrocardiography useful for predicting cardiovascular disease.

Zhengyao Ding, Yujian Hu, Ziyu Li, Yiheng Mao, Haitao Li, Dongchen Zhou, Xuesen Chu, Long Yu, Ziyi Liu, Fei Wu, Hongkun Zhang, Qingbo Xu, Ting Chen, Zhengxing Huang

npj Digit. Medicine, 2026

MASS: A Masking-aware Search Framework for Reliable QC-LDPC Code Construction in SSDs.

Xiaolu Li, Dingxin Wang, Zhengyao Ding, Jinye Wu, Qingnan Hu, Patrick P. C. Lee, Yuchong Hu, Dan Feng

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement.

Haitao Li, Che Liu, Zhengyao Ding, Ziyi Liu, Zhengxing Huang

CoRR, May, 2025

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities.

Haitao Li, Ziyu Li, Yiheng Mao, Zhengyao Ding, Zhengxing Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications.

Ziyu Li, Yujian Hu, Zhengyao Ding, Yiheng Mao, Haitao Li, Fan Yi, Hongkun Zhang, Zhengxing Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Large-scale cross-modality pretrained model enhances cardiovascular state estimation and cardiomyopathy detection from electrocardiograms: An AI system development and multi-center validation study.

Zhengyao Ding, Yujian Hu, Youyao Xu, Chengchen Zhao, Ziyu Li, Yiheng Mao, Haitao Li, Qian Li, Jing Wang, Yue Chen, Mengjia Chen, Longbo Wang, Xuesen Chu, Weichao Pan, Ziyi Liu, Fei Wu, Hongkun Zhang, Ting Chen, Zhengxing Huang

CoRR, 2024

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study.

Yujian Hu, Yilang Xiang, Yan-Jie Zhou, Yangyan He, Shifeng Yang, Xiaolong Du, Chunlan Den, Youyao Xu, Gaofeng Wang, Zhengyao Ding, Jingyong Huang, Wenjun Zhao, Xuejun Wu, Donglin Li, Qianqian Zhu, Zhenjiang Li, Chenyang Qiu, Ziheng Wu, Yunjun He, Chen Tian, Yihui Qiu, Zuodong Lin, Xiaolong Zhang, Yuan He, Zhenpeng Yuan, Xiaoxiang Zhou, Rong Fan, Ruihan Chen, Wenchao Guo, Jianpeng Zhang, Tony C. W. Mok, Zi Li, Le Lu, Dehai Lang, Xiaoqiang Li, Guofu Wang, Wei Lu, Zhengxing Huang, Minfeng Xu, Hongkun Zhang

CoRR, 2024

Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images.

Zhengyao Ding, Yujian Hu, Hongkun Zhang, Fei Wu, Shifeng Yang, Xiaolong Du, Yilang Xiang, Tian Li, Xuesen Chu, Zhengxing Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features.

Zhengyao Ding, Yujian Hu, Ziyu Li, Hongkun Zhang, Fei Wu, Yilang Xiang, Tian Li, Ziyi Liu, Xuesen Chu, Zhengxing Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024