Wei Zhao
Fudan University
8 Papers
Wei Zhao is an academic researcher from Fudan University. The author has contributed to research in topics: Medicine & Perfusion. The author has an hindex of 5, co-authored 8 publications.
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Papers
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.
Wei Zhao,Jiancheng Yang,Yingli Sun,Cheng Li,Weilan Wu,Liang Jin,Zhiming Yang,Bingbing Ni,Pan Gao,Peijun Wang,Yanqing Hua,Ming Li +11 more
TL;DR: A deep learning system based on 3D convolutional neural networks and multitask learning, which automatically predicts tumor invasiveness, together with 3D nodule segmentation masks is developed, which could help doctors work efficiently and facilitate the application of precision medicine.
Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning
Wei Zhao,Jiancheng Yang,Bingbing Ni,Dexi Bi,Yingli Sun,Mengdi Xu,Xiaoxia Zhu,Cheng Li,Liang Jin,Pan Gao,Peijun Wang,Yanqing Hua,Ming Li +12 more
TL;DR: The proposed deep learning system predicts EGFR‐mutant of lung adenocarcinomas in CT images noninvasively and automatically, indicating its potential to help clinical decision‐making by identifying eligible patients of pulmonary adenOCarcinoma for EG FR‐targeted therapy.
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Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
Yingli Sun,Cheng Li,Liang Jin,Pan Gao,Wei Zhao,Weiling Ma,Mingyu Tan,Weilan Wu,Shaofeng Duan,Yuqing Shan,Ming Li +10 more
TL;DR: In this paper, the authors investigated the value of radiomics based on CT imaging in predicting invasive adenocarcinoma manifesting as pure ground-glass nodules (pGGNs).
Contrast medium administration with a body surface area protocol in step-and-shoot coronary computed tomography angiography with dual-source scanners.
TL;DR: The BSA protocol for CM administration was feasible in both Flash and Force CT, and therefore may be valuable in clinical practice, and also achieved slightly lower diagnostic image quality than group B.
Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules.
Wei Zhao,Ya’nan Xu,Zhiming Yang,Yingli Sun,Cheng Li,Liang Jin,Pan Gao,Wenjie He,Peijun Wang,Hongli Shi,Yanqing Hua,Ming Li +11 more
TL;DR: A radiomics-based nomogram that incorporates both radiomics signature and mean CT value is constructed in the study, which can be conveniently used to facilitate the preoperative individualized prediction of the invasiveness in patients with subcentimeter GGNs.