Bin Li

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs

Tao Zhang, Dan Hou, Bingzhong Jing, 2020, Comput. Methods Programs Biomed..

Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies

Ying Sun, Chao-Feng Li, K. Cao, 2018, Cancer communications.

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.

Ying Jin, Bin Li, Bingzhong Jing, 2019, The Lancet. Oncology.

The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area

C. Xie, L. Ke, W. Xia, 2022, Comput. Methods Programs Biomed..

Deep learning-based recurrence detector on magnetic resonance scans in nasopharyngeal carcinoma: A multicenter study.

C. Xie, L. Ke, Bing-Zhong Jing, 2023, European journal of radiology.