Jiangdian Song
About
Jiangdian Song has authored 33 papers that have received a total of 1.1k indexed citations.
This includes 29 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (29 papers), Lung Cancer Diagnosis and Treatment (15 papers) and COVID-19 diagnosis using AI (9 papers). Jiangdian Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), Lung Cancer Diagnosis and Treatment (15 papers) and COVID-19 diagnosis using AI (9 papers) and collaborates with scholars based in China, United States and Mexico. Jiangdian Song's co-authors include Di Dong, Jie Tian, Kristen W. Yeom, Zaiyi Liu and Weimin Li and has published in prestigious journals such as Clinical Cancer Research, Scientific Reports and IEEE Transactions on Medical Imaging
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