Area of research
Radiology, Nuclear Medicine and Imaging · Radiation
Research interest
Research interests include Advanced Radiotherapy Techniques, Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, and Advanced X-ray and CT Imaging.
A hierarchical multi-channel multi-modality fusion strategy for integrating digital mammography and synthesized digital breast tomosynthesis for breast mass discrimination
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study
Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination
Rectum Protection by Rectal Gel Injection in Cervical Cancer Brachytherapy: A Dosimetric Study via Deformable Surface Dose Accumulation and Machine-Learning-Based Discriminative Modeling
A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making
Multi-path synergic fusion deep neural network framework for breast mass classification using digital breast tomosynthesis
[Prediction of rectal toxicity of radiotherapy for prostate cancer based on multi-modality feature and multi-classifiers].
CT to cone-beam CT deformable registration with simultaneous intensity correction