Aaron Loh

2 papers and 255 indexed citations i.

Aaron Loh is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Statistics, Probability and Uncertainty. According to data from OpenAlex, Aaron Loh has authored 2 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Statistics, Probability and Uncertainty. Recurrent topics in Aaron Loh’s work include COVID-19 diagnosis using AI (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Aaron Loh is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Aaron Loh collaborates with scholars based in United States. Aaron Loh's co-authors include Alan Karthikesalingam, Fiona Ryan, Basil Mustafa, Vivek Natarajan, Jan Freyberg, Mohammad Norouzi, Simon Kornblith, Ting Chen, Shekoofeh Azizi and Kang Lee and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).