Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation von Shirokikh, Boris, Shevtsov, Alexey, Kurmukov, Anvar, Dalechina, Alexandra, Krivov, Egor, Kostjuchenko, Valery, Golanov, Andrey, Belyaev, Mikhail

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Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization von Shirokikh, Boris, Shevtsov, Alexey, Dalechina, Alexandra, Krivov, Egor, Kostjuchenko, Valery, Golanov, Andrey, Gombolevskiy, Victor, Morozov, Sergey, Belyaev, Mikhail

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Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application von Shirokikh, Boris, Dalechina, Alexandra, Shevtsov, Alexey, Krivov, Egor, Kostjuchenko, Valery, Durgaryan, Amayak, Galkin, Mikhail, Golanov, Andrey, Belyaev, Mikhail

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MRI Augmentation via Elastic Registration for Brain Lesions Segmentation von Krivov, Egor, Pisov, Maxim, Belyaev, Mikhail

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Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation von Pimkin, Artem, Makarchuk, Gleb, Kondratenko, Vladimir, Pisov, Maxim, Krivov, Egor, Belyaev, Mikhail

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Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation von Shirokikh, Boris, Dalechina, Alexandra, Shevtsov, Alexey, Krivov, Egor, Kostjuchenko, Valery, Durgaryan, Amayak, Galkin, Mikhail, Osinov, Ivan, Golanov, Andrey, Belyaev, Mikhail

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

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Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation von Krivov, Egor, Kostjuchenko, Valery, Dalechina, Alexandra, Shirokikh, Boris, Makarchuk, Gleb, Denisenko, Alexander, Golanov, Andrey, Belyaev, Mikhail

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Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks von Belyaev, Mikhail, Dodonova, Yulia, Belyaeva, Daria, Krivov, Egor, Gutman, Boris, Faskowitz, Joshua, Jahanshad, Neda, Thompson, Paul

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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application von Shirokikh, Boris, Dalechina, Alexandra, Shevtsov, Alexey, Krivov, Egor, Kostjuchenko, Valery, Durgaryan, Amayak, Galkin, Mikhail, Golanov, Andrey, Belyaev, Mikhail

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Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation von Shirokikh, Boris, Shevtsov, Alexey, Kurmukov, Anvar, Dalechina, Alexandra, Krivov, Egor, Kostjuchenko, Valery, Golanov, Andrey, Belyaev, Mikhail

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Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation von Shirokikh, Boris, Dalechina, Alexandra, Shevtsov, Alexey, Krivov, Egor, Kostjuchenko, Valery, Durgaryan, Amayak, Galkin, Mikhail, Osinov, Ivan, Golanov, Andrey, Belyaev, Mikhail

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Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation von Krivov, Egor, Kostjuchenko, Valery, Dalechina, Alexandra, Shirokikh, Boris, karchuk, Gleb, Denisenko, Alexander, Golanov, Andrey, Belyaev, Mikhail

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Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation von Makarchuk, Gleb, Kondratenko, Vladimir, Pisov, Maxim, Pimkin, Artem, Krivov, Egor, Belyaev, Mikhail

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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application von Shirokikh, Boris, Dalechina, Alexandra, Shevtsov, Alexey, Krivov, Egor, Kostjuchenko, Valery, Durgaryan, Amayak, Galkin, Mikhail, Golanov, Andrey, Belyaev, Mikhail

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Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation von Shirokikh, Boris, Shevtsov, Alexey, Kurmukov, Anvar, Dalechina, Alexandra, Krivov, Egor, Kostjuchenko, Valery, Golanov, Andrey, Belyaev, Mikhail

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Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation von Shirokikh, Boris, Dalechina, Alexandra, Shevtsov, Alexey, Krivov, Egor, Kostjuchenko, Valery, Durgaryan, Amayak, Galkin, Mikhail, Osinov, Ivan, Golanov, Andrey, Belyaev, Mikhail

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Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation von Krivov, Egor, Kostjuchenko, Valery, Dalechina, Alexandra, Shirokikh, Boris, karchuk, Gleb, Denisenko, Alexander, Golanov, Andrey, Belyaev, Mikhail

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Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation von Makarchuk, Gleb, Kondratenko, Vladimir, Pisov, Maxim, Pimkin, Artem, Krivov, Egor, Belyaev, Mikhail

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METHOD AND APPARATUS FOR MOULDING PRESTRAINED GAS-CONCRETE ARTICLES von KONDRASHOV BORIS ,SU, KRIVITSKAYA IRINA G,SU, GISIN SEMEN G,SU, KOGELMAN YAN A,SU, SUKHOTIN BORIS YU,SU, SAZONOV IVAN ,SU, KRIVOV EGOR E,SU

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