Shadi Albarqouni
About
Shadi Albarqouni has authored 43 papers that have received a total of 2.4k indexed citations.
This includes 20 papers in Artificial Intelligence, 20 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Computer Vision and Pattern Recognition. The topics of these papers are AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (9 papers). Shadi Albarqouni is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (9 papers) and collaborates with scholars based in Germany, United States and United Kingdom. Shadi Albarqouni's co-authors include Nassir Navab, Christoph Baur, Benedikt Wiestler, Stefanie Demirci and M. Jorge Cardoso and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Journal of Clinical Medicine
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