Stefan Eberl
About
Stefan Eberl has authored 151 papers that have received a total of 5.4k indexed citations.
This includes 91 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Computer Vision and Pattern Recognition and 32 papers in Pulmonary and Respiratory Medicine. The topics of these papers are Medical Imaging Techniques and Applications (80 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Image Segmentation Techniques (33 papers). Stefan Eberl is often cited by papers focused on Medical Imaging Techniques and Applications (80 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Image Segmentation Techniques (33 papers) and collaborates with scholars based in Australia, Hong Kong and China. Stefan Eberl's co-authors include Michael Fulham, Evangelia Daviskas, Dagan Feng, Steven R. Meikle and Hak‐Kim Chan and has published in prestigious journals such as Journal of Clinical Investigation, NeuroImage and American Journal of Respiratory and Critical Care Medicine
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