Di Dong
Shandong University of Technology(CN)Nanjing University of Chinese Medicine(CN)Chinese Academy of Sciences(CN)Chinese Academy of Sciences(CN)Shandong Institute of Automation(CN)Beijing Academy of Artificial Intelligence(CN)Institute of Automation(CN)First Affiliated Hospital of Xinxiang Medical University(CN)Chinese Academy of Forestry(CN)State Forestry and Grassland Administration(CN)Institute of Forest Ecology, Environment and Protection(CN)University of Chinese Academy of Sciences(CN)China Southern Power Grid (China)(CN)Xinxiang Medical University(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Gastric Cancer Management and Outcomes, Advanced X-ray and CT Imaging, Head and Neck Cancer Studies
Most-Cited Works
- → The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges(2019)968 cited
- → Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification(2016)622 cited
- → Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma(2017)528 cited
- → Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation(2017)481 cited
- → Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning(2019)430 cited
- → Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer(2019)428 cited