Yaping Zhang
Shanghai Jiao Tong University
16 Papers
Yaping Zhang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 2, co-authored 6 publications. Previous affiliations of Yaping Zhang include Nanjing Medical University.
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Papers
Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists
Yaping Zhang,Mingqian Liu,Lu Zhang,Lingyun Wang,Keke Zhao,Shun-Shi Hu,Xu Chen,Xueqian Xie +7 more
TL;DR: In this paper , the authors used NLP-generated captions as prior information for chest radiograph (CXR) reporting time was 283 seconds, significantly shorter than the normal template (347 seconds) and rule-based model (296 seconds).
Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing
Yaping Zhang,Yaping Zhang,Liu Mingqian,Shundong Hu,Yao Shen,Jun Lan,Beibei Jiang,Geertruida H. de Bock,Rozemarijn Vliegenthart,Chen Xu,Xueqian Xie,Xueqian Xie +11 more
- 28 Oct 2021
TL;DR: Zhang et al. as discussed by the authors developed and tested a 25-label classification system for abnormal findings described in the reports and validate their model using data from multiple sites, and show that their models achieve similar performance to interpretation from the radiologists themselves.
Measurement Accuracy and Repeatability of RECIST-Defined Pulmonary Lesions and Lymph Nodes in Ultra-Low-Dose CT Based on Deep Learning Image Reconstruction
Keke Zhao,Beibei Jiang,Shuai Zhang,Lu Zhang,Lixin Zhang,Yan Feng,Jianying Li,Yaping Zhang,Xueqian Xie +8 more
TL;DR: It is found that the measured diameters in ULDCT were highly correlated with that of contrast-enhanced CT and highly repeatable, which may facilitate evaluating target lesions with greatly reduced radiation exposure in tumor evaluation and lung cancer screening.
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Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia
TL;DR: The machine-learning-derived Rad-signature of PCT in CCTA demonstrates significant association with functional ischemia.
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Benign incidental cardiac findings in chest and cardiac CT imaging.
TL;DR: In this review, this work summarized the imaging findings, incidence rate, and clinical relevance of some benign cardiac findings such as coronary artery calcification, aortic and mitral valve calcification; cardiac thrombus, myocardial bridge, aORTic dilation, cardiac myxoma, pericardial cyst, and coronary artery fistula.
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