Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Cancer, Immunotherapy, Receiver operating characteristic, Biomarker, and Cancer immunotherapy.
TME-guided deep learning predicts chemotherapy and immunotherapy response in gastric cancer with attention-enhanced residual Swin Transformer
Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer
Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer
Abstract 4939: Computational pathology approach for prognostic advancements and therapeutic benefits in gastrointestinal cancer: A multi-centric retrospective study
Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics
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