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Zhou Zhiyong
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No.88,Keling Road, Suzhou New District, China

He has presided over 1 national natural science foundation project, 1 sub-subject of national key research and development program project, 1 key research and development program project of Jiangsu province, and 1 joint fund project of Jiangsu province for medical devices.As the overall technical leader, I was responsible for many key R&D projects of Jiangsu Province and Zhejiang province.He has published 32 academic papers, applied for 39 invention patents and authorized 12 invention patents. Currently, he is a standing member of medical Imaging and Artificial Intelligence Professional Committee of Jiangsu Research Hospital Association and a reviewer of several SCI journals. won the first prize of Beijing Science and Technology Progress Award, the third prize of Jiangsu Science and Technology Award, the third prize of Jiangsu Excellent Copyright Award, the second prize of Suzhou New Medical Technology Award and the first prize of Suzhou Excellent Copyright Award.


The key technologies of intelligent assisted diagnosis and treatment based on medical image calculation, navigation of minimally invasive surgery plan, the research and development of integrated diagnosis and treatment system.

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1.CT-based Peritumoral Radiomics Signatures for Malignancy Grading of Clear Cell Renal Cell Carcinoma, Abdominal Radiology2020(accepted) 

2.Grading of Hepatocellular Carcinoma Using 3D SE-DenseNet in Dynamic Enhanced MR Images. Computers in Biology and Medicine, 2019.  

3.Accurate and Robust Non-rigid Point Set Registration using Student’s-t Mixture Model with Prior Probability Modeling, Scientific Reports, 2018, 7.  

4.A Real-time Wireless Wearable EEG System Based on SVM for Encephalopathy Daily Monitoring, International Journal of Distributed Sensor Networks. 2018,14(5), DOI: 10.1177/1550147718779562  

5.Combining SENSE and reduced fieldofview for highresolution diffusion weighted magnetic resonance imaging. BioMedical Engineering OnLine, 2018. 

6.Direct point-based registration for precise non-rigid surface matching using Student’s-t mixture model. Biomedical Signal Processing and Control, 2017, 3310-18.  

7.Zhiyong Zhou, Jian Zhen, Yakang Dai*, Zhe Zhou, Shi Chen. Robust Non-rigid Point Set Registration Using Student’s-t Mixture Model. PLoS ONE, 2014, 9 (3).
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