Daniel Tse
About
Daniel Tse has authored 6 papers that have received a total of 1.1k indexed citations.
This includes 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Public Health, Environmental and Occupational Health. The topics of these papers are COVID-19 diagnosis using AI (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Daniel Tse is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers) and collaborates with scholars based in United States and Hong Kong. Daniel Tse's co-authors include Shravya Shetty, Yun Liu, Joshua J. Reicher, Mozziyar Etemadi and Krishnan Eswaran and has published in prestigious journals such as Nature Medicine, Radiology and British Journal of Radiology
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