Michael Suehling
About
Michael Suehling has authored 24 papers that have received a total of 629 indexed citations.
This includes 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers) and Medical Image Segmentation Techniques (7 papers). Michael Suehling is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers) and Medical Image Segmentation Techniques (7 papers) and collaborates with scholars based in Germany, United States and China. Michael Suehling's co-authors include Dorin Comaniciu, Michael Wels, Andreas H. Mahnken, Alexander Cavallaro and S. Kevin Zhou and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Medical Imaging and European Radiology
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