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Chenying Lu

As seen in: Nature, Wiley Online Library, Dove Medical Press, Canadian Journal of Cardiology, Academic Radiology
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Articles

Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence

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By Jian Zhou, Guangyu Guo, Jiawen Yao, Chunpeng Zheng, Xiaochen Feng, Xianghua Ye, Yongjin J. Zhou, Pei Yang, Lukas Lambert, Shaojun Zheng, Qiong Li, Yingda Xia, Wenchao Guo, yi chen, Mengdi Zhang, Yu Jiang, Dandan Zheng, Haomiao Qing, Peng Zhou, Mei Lan, Lei Wu, Yong Li, Haifeng Wang, Yong Zhou, Junqiang Chen, Liyan Xu, Chenying Lu, Lin Chen, Junwei Han, Chengwei Shao, Wenqiang Wei, Kai Zhang, Jianfeng Zhang, Dingwen Zhang, Jiansong Ji, Chuanmiao Xie, Kai Cao, Yuqian Zhao, Ling Zhang, Qifeng Wang, Qinji Yu, Wusong Liu
| Nature Verified
Abstract The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) detection a global health challenge. Although noncontrast computed tomography (NC CT) is widely accessible, the esophagus is a hollow tubular structure prone to collapse and motion artifacts, making small early malignant lesions difficult to distinguish from normal tissue.
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Right Heart Strain in Acute Myocardial Infarction: Toward an Integrated Atrioventricular Perspective

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By R. Byrne, Liya Dai, Chenying Lu
| Wiley Online Library Verified
L.Dai and C.Lu, “Right Heart Strain in Acute Myocardial Infarction: Toward an Integrated Atrioventricular Perspective,” Journal of Magnetic Resonance Imaging (2026): 1–2, https://doi.org/10.1002/jmri.70353. No abstract is available for this article. Conflicts of Interest The authors declare no conflicts of interest. References 1, , , , and , “The Global Burden of Cardiovascular Diseases and Risk,” Journal of the American College of Cardiology 80, no.
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Contextualizing Explainable Machine Learning in the Natural History of Subclinical Coronary Atherosclerosis

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By Jiansong Ji, Chenying Lu
| Canadian Journal of Cardiology Verified
Get full text access Log in, subscribe or purchase for full access. References: 1. Zhang M, Yang X. Translating a Coronary Computed Tomography Angiography-Based Plaque Progression Model Into Patient-Centered Risk Prediction. Canadian Journal of Cardiology. 2. Su, Y. ∙ Mei, J. ∙ Ye, R. ... Predicting Midterm Risk of Coronary Plaque Progression in Subclinical Nonobstructive Coronary Atherosclerosis Using Explainable Machine Learning Can J Cardiol. 2025; 3. Slipczuk, L. ∙ Blankstein, R. ∙ Bucciarelli-Ducci, C.
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