Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Cancer, Cohort, Immunotherapy, Receiver operating characteristic, and Nomogram.
Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer
Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics
Biology-guided deep learning predicts prognosis and cancer immunotherapy response
Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study
Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study
1284 Biology-guided deep learning predicts prognosis and cancer immunotherapy response
Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning
Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study
Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer