Bilaketaren emaitzak - Mikhail Belyaev

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  1. 1
    CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification

    CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification nork Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, A. V. Solovev, Victor А. Gombolevskiy, С. П. Морозов, Mikhail Belyaev

    Argitaratua 2021
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  2. 2
    ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

    ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI nork Stefan Winzeck, Arsany Hakim, Richard McKinley, José A. A. D. S. R. Pinto, Victor Alves, Carlos A. Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, Arlindo L. Oliveira, Youngwon Choi, Myunghee Cho Paik, Yongchan Kwon, Hanbyul Lee, Beom Joon Kim, Joong‐Ho Won, Mobarakol Islam, Hongliang Ren, David Robben, Paul Suetens, Enhao Gong, Yilin Niu, Junshen Xu, John M. Pauly, Christian Lucas, Mattias P. Heinrich‬, Luis Carlos Rivera Monroy, Laura Silvana Castillo, Laura Daza, Andrew Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy‐Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes

    Argitaratua 2018
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