Ismail Ben Ayed
About
Ismail Ben Ayed has authored 116 papers that have received a total of 3.0k indexed citations.
This includes 81 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 33 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Medical Image Segmentation Techniques (45 papers), Advanced Neural Network Applications (33 papers) and Domain Adaptation and Few-Shot Learning (26 papers). Ismail Ben Ayed is often cited by papers focused on Medical Image Segmentation Techniques (45 papers), Advanced Neural Network Applications (33 papers) and Domain Adaptation and Few-Shot Learning (26 papers) and collaborates with scholars based in Canada, Spain and France. Ismail Ben Ayed's co-authors include José Dolz, Shuo Li, Kumaradevan Punithakumar, Ian Ross and Éric Granger and has published in prestigious journals such as Nature Communications, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence
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