Thang Doan

6 papers and 179 indexed citations i.

Thang Doan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thang Doan has authored 6 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thang Doan’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Thang Doan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Thang Doan collaborates with scholars based in Canada, India and Australia. Thang Doan's co-authors include Bogdan Mazoure, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Reza Hashemifesharaki, Moloud Abdar, Saeid Nahavandi, Li Liu, João Monteiro and Isabela Albuquerque and has published in prestigious journals such as Computers in Biology and Medicine, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Machine Learning.