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

Guoliang Xu, Chaofeng Li, Longjun He, +22

The Lancet Oncology

Artificial IntelligenceDiagnostic StudyEngineeringMachine LearningIntelligent Diagnostics +13

A deep survival analysis method based on ranking

Bingzhong Jing, Tao Zhang, Zixian Wang, +10

Artificial Intelligence in Medicine

EngineeringMachine LearningLife PredictionPrognosisStatistics

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

Chaofeng Li, Bingzhong Jing, Liang‐Ru Ke, +33

Cancer Communications

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, +9

Oral Oncology

Densenet ModelImage AnalysisMachine LearningMedical ImagingDeep Learning +13

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, +8

European Radiology

Distinct Survival SubgroupsRadiation TherapyMedicineNasopharyngeal CancerPathology +6

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

Bingzhong Jing, Yishu Deng, Tao Zhang, +8

Computer Methods and Programs in Biomedicine

Multi-parametric MrisRadiation OncologyEngineeringMachine LearningMedical Imaging +10

The value of detailed MR imaging report of primary tumor and lymph nodes on prognostic nomograms for nasopharyngeal carcinoma after intensity-modulated radiotherapy

Yanzi Wan, Li Tian, Guoyi Zhang, +12

Radiotherapy and Oncology

Oncologic ImagingRadiation TherapyMedical ImagingMedicineNasopharyngeal Cancer +10

Access control by RFID and face recognition based on neural network

Dongliang Wu, Wing W. Y. Ng, Patrick P. K. Chan, +3

EngineeringBiometricsNeural NetworkFace RecognitionRadio Frequency Identification +15

Vessel enhancement of low quality fundus image using mathematical morphology and combination of Gabor and matched filter

Chengyu Lu, Bingzhong Jing, Patrick P. K. Chan, +4

EngineeringBiomedical EngineeringImage AnalysisMathematical MorphologyRadiology +15

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

Yishu Deng, Chaofeng Li, Xing Lv, +8

Computer Methods and Programs in Biomedicine

Image AnalysisMachine LearningMedical ImagingDeep LearningEndemic Area +13