Natalie Shih
About
Natalie Shih has authored 44 papers that have received a total of 2.2k indexed citations.
This includes 16 papers in Artificial Intelligence, 14 papers in Pulmonary and Respiratory Medicine and 14 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). Natalie Shih is often cited by papers focused on AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Prostate Cancer Diagnosis and Treatment (9 papers) and collaborates with scholars based in United States, Colombia and The Netherlands. Natalie Shih's co-authors include Michael D. Feldman, Anant Madabhushi, John Tomaszewski, Ajay Basavanhally and Zhi Wei and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood
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