Youngjin Yoo
About
Youngjin Yoo has authored 25 papers that have received a total of 650 indexed citations.
This includes 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Pulmonary and Respiratory Medicine. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (4 papers) and Brain Tumor Detection and Classification (4 papers). Youngjin Yoo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (4 papers) and Brain Tumor Detection and Classification (4 papers) and collaborates with scholars based in Canada, United States and Germany. Youngjin Yoo's co-authors include Roger Tam, David K.B. Li, Anthony Traboulsee, Dorin Comaniciu and Bogdan Georgescu and has published in prestigious journals such as Neurology, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine
In The Last Decade
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