Rahaf Aljundi

15 papers and 1.3k indexed citations i.

Rahaf Aljundi has authored 15 papers that have received a total of 1.3k indexed citations. This includes 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (8 papers) and COVID-19 diagnosis using AI (5 papers). Rahaf Aljundi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (8 papers) and COVID-19 diagnosis using AI (5 papers) and collaborates with scholars based in Belgium, Switzerland and Canada. Rahaf Aljundi's co-authors include Tinne Tuytelaars, Min Lin, Aleš Leonardis, Sarah Parisot and Eugene Belilovsky and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence