Mikhail Belyaev
About
Mikhail Belyaev has authored 12 papers that have received a total of 295 indexed citations.
This includes 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Optimal Experimental Design Methods (2 papers). Mikhail Belyaev is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Optimal Experimental Design Methods (2 papers) and collaborates with scholars based in Russia, India and Tajikistan. Mikhail Belyaev's co-authors include Evgeny Burnaev, Victor А. Gombolevskiy, Andrey Golanov, Pavel Prikhodko and С. П. Морозов and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Medical Image Analysis and IEEE Journal of Biomedical and Health Informatics.
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