Jiangdian Song
China Medical University(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Lung Cancer Treatments and Mutations, AI in cancer detection, COVID-19 diagnosis using AI
Most-Cited Works
- → Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer(2018)212 cited
- → A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy(2018)196 cited
- → A review of original articles published in the emerging field of radiomics(2020)163 cited
- → 2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer(2017)157 cited
- → Quantitative Biomarkers for Prediction of Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer(2017)121 cited
- → Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures(2020)99 cited
- → Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach(2015)98 cited
- → End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT(2020)81 cited
- → Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020(2021)79 cited
- → Radiomics for the prediction of EGFR mutation subtypes in non‐small cell lung cancer(2019)79 cited