Shih-Cheng Huang
About
Shih-Cheng Huang has authored 18 papers that have received a total of 648 indexed citations.
This includes 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (4 papers) and AI in cancer detection (4 papers). Shih-Cheng Huang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (4 papers) and AI in cancer detection (4 papers) and collaborates with scholars based in United States, Taiwan and Canada. Shih-Cheng Huang's co-authors include Matthew P. Lungren, Imon Banerjee, Serena Yeung, Anuj Pareek and Jeremy Irvin and has published in prestigious journals such as Journal of Clinical Oncology, Nature Communications and Applied Physics Letters
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