Shi-Ting Feng

According to our database, Shi-Ting Feng authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge.

Xiaoyi Lin, Mingyu Wang, Fei Li, Ziyue Xu, Jia Chen, Xin Chen, Chenglang Yuan, Songxiong Wu, Yanji Luo, Jingxian Shen, Shi-Ting Feng, Bingsheng Huang

IEEE J. Biomed. Health Informatics, January, 2024

2022

Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic-clinical model.

Xuehua Li, Yingkui Zhong, Chenglang Yuan, Jinjiang Lin, Xiaodi Shen, Minyi Guo, Baolan Lu, Jixin Meng, Yangdi Wang, Naiwen Zhang, Zixin Luo, Guimeng Hu, Ren Mao, Minhu Chen, Canhui Sun, Ziping Li, Qing-hua Cao, Baili Chen, Zhihui Chen, Bingsheng Huang, Shi-Ting Feng

Int. J. Intell. Syst., December, 2022

Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis.

Yi Li, Yuanyuan Zhao, Mingyu Wang, Fei Li, Jia Chen, Yanji Luo, Shi-Ting Feng, Xiaoyi Lin, Bingsheng Huang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.

Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng, Chenglang Yuan

IEEE J. Biomed. Health Informatics, 2021

Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms.

Bingsheng Huang, Xiaoyi Lin, Jingxian Shen, Xin Chen, Jia Chen, Zi-Ping Li, Mingyu Wang, Chenglang Yuan, Xian-Fen Diao, Yanji Luo, Shi-Ting Feng

IEEE J. Biomed. Health Informatics, 2021