Area of research
Radiology, Nuclear Medicine and Imaging · Pulmonary and Respiratory Medicine
Research interest
Research focused on Radiology and Breast cancer, with related work in Radiomics, Nodule (geology), Sarcopenia. Notable publications include 'Deep Learning Radiomics Features of Mediastinal Fat and Pulmonary Nodules on Lung CT Images Distinguish Benignancy and Malignancy', 'Deep learning-based CT image for pulmonary nodule classification with intrathoracic fat: A multicenter study', and 'Explainable Machine Learning Explores Association Between Sarcopenia and Breast Cancer Distant Metastasis'.
Deep Learning Radiomics Features of Mediastinal Fat and Pulmonary Nodules on Lung CT Images Distinguish Benignancy and Malignancy
Deep learning-based CT image for pulmonary nodule classification with intrathoracic fat: A multicenter study
Dual biomarkers CT-based deep learning model incorporating intrathoracic fat for discriminating benign and malignant pulmonary nodules in multi-center cohorts
Explainable Machine Learning Explores Association Between Sarcopenia and Breast Cancer Distant Metastasis
Pectoralis muscle predicts distant metastases in breast cancer by deep learning radiomics