Milad Soltany

3 papers and 203 indexed citations .

Milad Soltany is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Milad Soltany has authored 3 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Milad Soltany’s work include Radiomics and Machine Learning in Medical Imaging (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and COVID-19 diagnosis using AI (1 paper). Milad Soltany is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and COVID-19 diagnosis using AI (1 paper). Milad Soltany collaborates with scholars based in Iran, Canada and Germany. Milad Soltany's co-authors include Julien Cohen‐Adad, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Reza Azad, Dorit Merhof, Moein Heidari, Hamid Reza Pourreza, Ali Etemad, Michael Greenspan and Farhad Pourpanah and has published in prestigious journals such as Advanced materials research, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the AAAI Conference on Artificial Intelligence.