Michael P. Eckert
About
Michael P. Eckert has authored 15 papers that have received a total of 365 indexed citations.
This includes 8 papers in Computer Vision and Pattern Recognition, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Digital Radiography and Breast Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiation Dose and Imaging (3 papers). Michael P. Eckert is often cited by papers focused on Digital Radiography and Breast Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiation Dose and Imaging (3 papers) and collaborates with scholars based in United States and Australia. Michael P. Eckert's co-authors include Gershon Buchsbaum, Dev P. Chakraborty, Robert Heard, Donald McLean and Andrew B. Watson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Philosophical Transactions of the Royal Society B Biological Sciences and Medical Physics
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