Yutaro Yamada

4 papers and 157 indexed citations i.

Yutaro Yamada is a scholar working on Artificial Intelligence, Surgery and Biomedical Engineering. According to data from OpenAlex, Yutaro Yamada has authored 4 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Surgery and 1 paper in Biomedical Engineering. Recurrent topics in Yutaro Yamada’s work include Adversarial Robustness in Machine Learning (2 papers), Surgical Simulation and Training (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Yutaro Yamada is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Surgical Simulation and Training (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Yutaro Yamada collaborates with scholars based in United States and Japan. Yutaro Yamada's co-authors include Ofir Lindenbaum, Yasuhisa Hasegawa, Henry Li, Uri Shaham and Mayu Otani and has published in prestigious journals such as Neurocomputing and International Journal of Computer Assisted Radiology and Surgery.