Laith Alzubaidi
About
Laith Alzubaidi has authored 55 papers that have received a total of 3.5k indexed citations.
This includes 29 papers in Artificial Intelligence, 18 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. The topics of these papers are COVID-19 diagnosis using AI (12 papers), AI in cancer detection (11 papers) and Anomaly Detection Techniques and Applications (10 papers). Laith Alzubaidi is often cited by papers focused on COVID-19 diagnosis using AI (12 papers), AI in cancer detection (11 papers) and Anomaly Detection Techniques and Applications (10 papers) and collaborates with scholars based in Australia, Iraq and United States. Laith Alzubaidi's co-authors include Mohammed A. Fadhel, Jinglan Zhang, José Santamaría, Omran Al-Shamma and Ye Duan and has published in prestigious journals such as PLoS ONE, Computer Methods in Applied Mechanics and Engineering and Expert Systems with Applications
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