Rohan Taori

19 total papers · 2.7k total citations
3 papers, 32 citations indexed

Rohan Taori is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Rohan Taori has authored 3 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 0 papers in Infectious Diseases. Recurrent topics in Rohan Taori’s work include COVID-19 diagnosis using AI (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Rohan Taori is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Rohan Taori collaborates with scholars based in United States, Switzerland and Israel. Rohan Taori's co-authors include Ludwig Schmidt, Inioluwa Deborah Raji, Vaishaal Shankar, Benjamin Recht, Achal Dave, Nicholas Carlini, Yair Carmon, J. J. Miller, Aditi Raghunathan and Pang Wei Koh and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.