Jonathan Huang
About
Jonathan Huang has authored 64 papers that have received a total of 1.6k indexed citations.
This includes 27 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Surgery. The topics of these papers are Bayesian Modeling and Causal Inference (8 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Jonathan Huang is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Anomaly Detection Techniques and Applications (5 papers) and collaborates with scholars based in United States, Taiwan and China. Jonathan Huang's co-authors include Carlos Guestrin, Leonidas Guibas, Lama Nachman, Vivek Rathod and Nathan A. Shlobin and has published in prestigious journals such as Nature, Magnetic Resonance in Medicine and Neurosurgery
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