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Jing Wu

Central South University - Department of Radiology

Changsha, Hunan 410083

China

SCHOLARLY PAPERS

4

DOWNLOADS

292

TOTAL CITATIONS

8

Scholarly Papers (4)

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1.

Deep Learning-Based Classification of Primary Bone Tumors on Radiographs: A Preliminary Study

Number of pages: 33 Posted: 10 Aug 2020
Yu He, Ian Pan, Jing Wu, Bingting Bao, Kasey Halsey, Marcello Chang, Paul J. Zhang, Zishu Zhang and Harrison X. Bai
Central South University - Department of Radiology, Brown University - Department of Diagnostic Imaging, Central South University - Department of Radiology, Central South University - Department of Radiology, Brown University - Department of Diagnostic Imaging, Stanford University - School of Medicine, University of Pennsylvania - Department of Pathology and Laboratory Medicine, Central South University - Department of Radiology and Brown University - Department of Diagnostic Imaging
Downloads 81 (796,622)
Citation 6

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deep learning; convolutional neural network; primary bone tumor; plain radiograph

2.

Deep Learning for Classification of Bone Lesions on Routine MRI

Number of pages: 26 Posted: 10 Feb 2021
Feyisope R. Eweje, Bingting Bao, Jing Wu, Deepa Dalal, Wei-hua Liao, Yu He, Yongheng Luo, Xianjing Peng, Paul J. Zhang, Lisa States, Ronnie A. Sebro and Harrison X. Bai
Perelman School of Medicine at University of Pennsylvania, Central South University - Department of Radiology, Central South University - Department of Radiology, Department of Radiology, Children’s Hospital of Philadelphia, Central South University, Central South University - Department of Radiology, Central South University - Second Xiangya Hospital, Department of Radiology, Xiangya Hospital of Central South University, University of Pennsylvania - Department of Pathology and Laboratory Medicine, Department of Radiology, Children’s Hospital of Philadelphia, Mayo Clinic Radiology and Rhode Island Hospital
Downloads 79 (809,932)
Citation 2

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Deep learning; MRI; Bone tumor; Convolutional neural network; Bone lesion

3.

Differentiation of Low and High Grade Renal Cell Carcinoma on Routine MR with an Externally Validated Automatic Machine Learning Algorithm

Number of pages: 23 Posted: 17 Aug 2020
Subhanik Purkayastha, Yijun Zhao, Chengzhang Zhu, Jing Wu, Rong Hu, Aidan McGirr, Sukhdeep Singh, Ken Chang, Raymond Y. Huang, Paul J. Zhang, Alvin Silva, Michael C. Soulen, S. William Stavropoulos, Yang Li, Zishu Zhang and Harrison X. Bai
Brown University - Department of Diagnostic Imaging, Central South University - Department of Radiology, Central South University - School of Computer Science and Engineering, Central South University - Department of Radiology, Central South University - Department of Radiology, Mayo Clinic - Department of Radiology, Mayo Clinic - Department of Radiology, Harvard University - Athinoula A. Martinos Center for Biomedical Imaging, Harvard University - Department of Radiology, University of Pennsylvania - Department of Pathology and Laboratory Medicine, Mayo Clinic Hospital - Department of Radiology, University of Pennsylvania - Division of Interventional Radiology, University of Pennsylvania - Division of Interventional Radiology, Central South University - Department of Neurology, Central South University - Department of Radiology and Brown University - Department of Diagnostic Imaging
Downloads 71 (867,774)

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renal cell carcinoma; Fuhrman grade; radiomics; automatic machine learning

4.

Performance of Automatic Machine Learning versus Radiologists in the Evaluation of Endometrium on Computed Tomography

Number of pages: 43 Posted: 22 Sep 2020
Dan Li, Rong Hu, Jing Wu, Shixin Liu, Subhanik Purkayastha, Michael Atalay, Dania Daye, Paul J. Zhang, Shaolei Lu, Ken Chang, Raymond Y. Huang, Michael D. Beland, Beiji Zou, Zishu Zhang, Chengzhang Zhu and Harrison X. Bai
Sun Yat-sen University (SYSU) - Department of Interventional Medicine, Central South University - School of Computer Science and Engineering, Central South University - Department of Radiology, affiliation not provided to SSRN, Brown University - Department of Diagnostic Imaging, Brown University - Department of Diagnostic Imaging, Harvard University - Department of Radiology, University of Pennsylvania - Department of Pathology and Laboratory Medicine, Brown University - Department of Pathology, Harvard University - Department of Radiology, Harvard University - Department of Radiology, Brown University - Department of Diagnostic Imaging, Central South University - School of Computer Science and Engineering, Central South University - Department of Radiology, Central South University - College of Literature and Journalism and Brown University - Department of Diagnostic Imaging
Downloads 61 (951,658)

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endometrial cancer, automatic machine learning, radiomics, computed tomography