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Rongguo Zhang

Showing results (1-10 of 50) with videos related to

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Journal of Imaging Informatics in Medicine|August 15, 2024
Construction and Validation of a General Medical Image Dataset for PretrainingRongguo Zhang, Chenhao Pei, Ji Shi, et al.
International Journal of Computer Assisted Radiology and Surgery|February 23, 2022
Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT imagesQiuju Li, Han Kang, Rongguo Zhang, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|May 24, 2012
[Image segmentation in tumor CT based on the improved C-V model]Jianguo Zhang, Rongguo Zhang, Fei Xue, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor PatientsWen Tang, Haoyue Zhang, Pengxin Yu, et al.
Plos One|June 3, 2017
A preliminary examination of the diagnostic value of deep learning in hip osteoarthritisYanping Xue, Rongguo Zhang, Yufeng Deng, et al.
Korean Journal of Radiology|May 16, 2020
Prediction of the Development of Pulmonary Fibrosis Using Serial Thin-Section CT and Clinical Features in Patients Discharged after Treatment for COVID-19 PneumoniaMinhua Yu, Ying Liu, Dan Xu, et al.
International Journal of Computer Assisted Radiology and Surgery|June 20, 2020
Deep residual nets model for staging liver fibrosis on plain CT imagesQiuju Li, Bing Yu, Xi Tian, et al.
Frontiers of Medicine|December 17, 2019
Survey on deep learning for pulmonary medical imagingJiechao Ma, Yang Song, Xi Tian, et al.
The Journal of Surgical Research|February 22, 2015
Lactulose accelerates liver regeneration in rats by inducing hydrogenJianhua Yu, Weiguang Zhang, Rongguo Zhang, et al.
Abdominal Radiology (New York)|January 28, 2022
Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variablesLijing Fan, Jing Li, Huiling Zhang, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Journal of Imaging Informatics in Medicine|August 15, 2024
Construction and Validation of a General Medical Image Dataset for PretrainingRongguo Zhang, Chenhao Pei, Ji Shi, et al.
International Journal of Computer Assisted Radiology and Surgery|February 23, 2022
Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT imagesQiuju Li, Han Kang, Rongguo Zhang, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|May 24, 2012
[Image segmentation in tumor CT based on the improved C-V model]Jianguo Zhang, Rongguo Zhang, Fei Xue, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor PatientsWen Tang, Haoyue Zhang, Pengxin Yu, et al.
Plos One|June 3, 2017
A preliminary examination of the diagnostic value of deep learning in hip osteoarthritisYanping Xue, Rongguo Zhang, Yufeng Deng, et al.
Korean Journal of Radiology|May 16, 2020
Prediction of the Development of Pulmonary Fibrosis Using Serial Thin-Section CT and Clinical Features in Patients Discharged after Treatment for COVID-19 PneumoniaMinhua Yu, Ying Liu, Dan Xu, et al.
International Journal of Computer Assisted Radiology and Surgery|June 20, 2020
Deep residual nets model for staging liver fibrosis on plain CT imagesQiuju Li, Bing Yu, Xi Tian, et al.
Frontiers of Medicine|December 17, 2019
Survey on deep learning for pulmonary medical imagingJiechao Ma, Yang Song, Xi Tian, et al.
The Journal of Surgical Research|February 22, 2015
Lactulose accelerates liver regeneration in rats by inducing hydrogenJianhua Yu, Weiguang Zhang, Rongguo Zhang, et al.
Abdominal Radiology (New York)|January 28, 2022
Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variablesLijing Fan, Jing Li, Huiling Zhang, et al.
Pageof 5