Ju Shenghong

Ju Shenghong

Ju Shenghong, Doctor of Medicine, is chief professor, chief physician and doctoral supervisor of Southeast University. He is currently the deputy dean of the School of Medicine of Southeast University and the director of the Imaging Department of the Affiliated Zhongda Hospital. He is a winner of the National Science Fund for Distinguished Young Scholars, a national “****” leading scientific and technological innovation leader, and the head of the “Key Field Innovation Team” of the Ministry of Science and Technology.

The main research directions include imaging diagnosis, molecular imaging, artificial intelligence and radiomics. He has presided over more than 10 national-level projects such as national key research and development plan projects, key projects of the National Natural Science Foundation of China, and key projects of major research plans. Published more than 100 papers as the first author/corresponding author. He has won more than 10 awards, including the second prize of the National Science and Technology Progress Award, the second prize of the National Teaching Achievement Award, the first prize of the Ministry of Education’s Science and Technology Progress Award, and the second prize of the Jiangsu Province Science and Technology Progress Award.

He is currently a member of the Standing Committee of the Chinese Society of Radiology, a member of the Standing Committee of the Chinese Association of Radiologists, a member of the Medical Technology Teaching Steering Committee of Higher Education Institutions of the Ministry of Education, a deputy chairman of the Jiangsu Provincial Society of Radiology, and an executive committee member of the Asian Abdominal Imaging Society. Won the annual gold medal of the Chinese Society of Radiology, the national “Good Teacher among Resident Physicians”, the fifth batch of “333 High-level Talents” of Jiangsu Province, the Outstanding Educator of Jiangsu Province, and the “Six Talent Peaks” of Jiangsu Province.

Translated from the original Chinese source.

Tags :
Share :

Related Posts

Jiao Yiping

Jiao Yiping

Jiao Yiping, Ph.D., is currently a lecturer at the School of Artificial Intelligence at Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He graduated with a master’s and doctoral degree from the School of Automation of Southeast University. During his period, he received funding from the China Scholarship Council and went to the Netherlands for a year of joint training with the Computational Pathology Group of Radboud University Medical Center. His main research directions are computational pathology and machine learning. He has rich experience in histopathological full scan slice analysis. He has published six SCI papers as the first author and has authorized one invention patent. Research topics include cancer focus detection and tumor microenvironment analysis in slices of lung cancer, colorectal cancer, breast cancer, and pancreatic cancer, as well as supporting slice quality control, active learning, and staining pattern analysis and other technologies.

Read More
Li Jin

Li Jin

Li Jin is a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. He graduated from Xiamen University with a bachelor’s degree and a Ph.D. from the School of Biomedical Engineering and Instrument Science, Zhejiang University. He presided over the Youth Project of the National Natural Science Foundation of China and participated in many projects such as the National Natural Science Foundation of China, major scientific research projects of Zhijiang Laboratory, and the British NIHR scientific research projects. During the doctoral stage, he was selected into the “Zhejiang University Doctoral Graduate Academic Rising Star Program” and won honors such as Zhejiang University’s outstanding graduate students. In 2021, funded by the China Scholarship Council (CSC), he will go to the University of Oxford in the UK for joint training. The main research directions are: electronic medical record (EHR) data mining based on machine learning; clinical decision support based on graph models and large language models. Mainly committed to applying medical artificial intelligence methods to: 1) clinical intelligent decision-making; 2) patient prognosis risk assessment; 3) intelligent prevention, diagnosis and treatment of diseases, etc., so as to assist the role and value of medical big data in clinical practice.

Read More
Chunyan Xu, Msc

Chunyan Xu, Msc

Translated from the original Chinese source.

Read More