Bingzhong Jing

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

Guoliang Xu, Chaofeng Li, Longjun He et al. · The Lancet Oncology · 2019 · 394 citations

Artificial Intelligence, Diagnostic Study, Engineering +15

A deep survival analysis method based on ranking

Bingzhong Jing, Tao Zhang, Zixian Wang et al. · Artificial Intelligence in Medicine · 2019 · 96 citations

Engineering, Machine Learning, Life Prediction +2

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

Chaofeng Li, Bingzhong Jing, Liang‐Ru Ke et al. · Cancer Communications · 2018 · 79 citations · Full text

Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images

Liang‐Ru Ke, Yishu Deng, Wei‐Xiong Xia et al. · Oral Oncology · 2020 · 78 citations

Densenet Model, Image Analysis, Machine Learning +15

Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups

Enhong Zhuo, Weijing Zhang, Haojiang Li et al. · European Radiology · 2019 · 67 citations

Distinct Survival Subgroups, Radiation Therapy, Medicine +8