Jiao Yiping
- IMIC Lab
- People , Engineering teacher
- July 29, 2022

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.
For more information, please visit my personal homepage: http://faculty.nuist.edu.cn/jiaoyiping/zh_CN/index.htm
Representative papers
[1] Jiao Y , Li J, Qian C, et al. Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images[J]. Computer Methods and Programs in Biomedicine, 2021, 204: 106047.
[2] Jiao Y # , Yuan J # , Qiang Y, et al. Deep embeddings and logistic regression for rapid active learning in histopathological images[J]. Computer Methods and Programs in Biomedicine , 2021, 212: 106464.
[3] Jiao Y # , Yuan J # , Sodimu O M, et al. Deep Neural Network-Aided Histopathological Analysis of Myocardial Injury[J]. Frontiers in Cardiovascular Medicine , 2021, 8.
[4] Jiao Y , Li J, Fei S. Staining condition visualization in digital histopathological whole-slide images[J]. Multimedia Tools and Applications , 2022: 1-17.
[5] Jiao Y , Li Z, Chen X, et al. Preprocessing methods for near ‐ infrared spectrum calibration[J]. Journal of Chemometrics , 2020, 34(11): e3306.
[6] Jiao Y , Qian C, Fei S. Commentary: Overall Survival in Heart Disease–Related Death in Non-Small Cell Lung Cancer Patients: Nonimmunotherapy Versus Immunotherapy Era: Population-Based Study[J]. Frontiers in Oncology , 2021, 11.
Translated from the original Chinese source.


