Mike Feldman
About
Mike Feldman has authored 4 papers that have received a total of 338 indexed citations.
This includes 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are AI in cancer detection (2 papers), Digital Imaging for Blood Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mike Feldman is often cited by papers focused on AI in cancer detection (2 papers), Digital Imaging for Blood Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers) and collaborates with scholars based in United States, Colombia and Japan. Mike Feldman's co-authors include Haibo Wang, Hannah Gilmore, John Tomaszewski, Natalie Shih and Fabio A. González and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Vascular Research and Journal of Medical Imaging
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