Michael Hofmann
About
Michael Hofmann has authored 21 papers that have received a total of 325 indexed citations.
This includes 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Hardware and Architecture. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Michael Hofmann is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers) and collaborates with scholars based in Germany, Austria and The Netherlands. Michael Hofmann's co-authors include Dieter Schmalstieg, Jan Egger, Alexander Hann, Xiaojun Chen and Gudula Rünger and has published in prestigious journals such as Scientific Reports, Physical Review A and International Journal of Computer Vision
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