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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Subsolidus Conceptual Design of CaO-Al2O3- TiO2-SiO2 System and Its Significance for Manufacturing Advanced Ceramics von Michail I. RYSCHENKO Yaroslav N. PITAK Elena Yu. FEDORENKO Maria Yu. L1SYUTKINA Alexey V. SHEVTSOV

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CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification von Goncharov, Mikhail, Pisov, Maxim, Shevtsov, Alexey, Shirokikh, Boris, Kurmukov, Anvar, Blokhin, Ivan, Chernina, Valeria, Solovev, Alexander, Gombolevskiy, Victor, Morozov, Sergey, Belyaev, Mikhail

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The time of emergence of the Gnezdovo settlement based on radiocarbon dating von Murasheva, Veronika V., Panin, Andrey V., Shevtsov, Alexey O., Malysheva, Nadezhda N., Zazovskaya, Elya P., Zaretskaya, Nataliya E.

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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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The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study von Kurmukov, Anvar, Chernina, Valeria, Gareeva, Regina, Dugova, Maria, Petrash, Ekaterina, Aleshina, Olga, Pisov, Maxim, Shirokikh, Boris, Samokhin, Valentin, Proskurov, Vladislav, Shimovolos, Stanislav, Basova, Maria, Goncahrov, Mikhail, Soboleva, Eugenia, Donskova, Maria, Yaushev, Farukh, Shevtsov, Alexey, Zakharov, Alexey, Saparov, Talgat, Gombolevskiy, Victor, 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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CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification von Goncharov, Mikhail, Pisov, Maxim, Shevtsov, Alexey, Shirokikh, Boris, Kurmukov, Anvar, Blokhin, Ivan, Chernina, Valeria, Solovev, Alexander, Gombolevskiy, Victor, Morozov, Sergey, Belyaev, Mikhail

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The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study von Kurmukov, Anvar, Chernina, Valeria, Gareeva, Regina, Dugova, Maria, Petrash, Ekaterina, Aleshina, Olga, Pisov, Maxim, Shirokikh, Boris, Samokhin, Valentin, Proskurov, Vladislav, Shimovolos, Stanislav, Basova, Maria, Goncahrov, Mikhail, Soboleva, Eugenia, Donskova, Maria, Yaushev, Farukh, Shevtsov, Alexey, Zakharov, Alexey, Saparov, Talgat, Gombolevskiy, Victor, Belyaev, Mikhail

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The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study von Kurmukov, Anvar, Chernina, Valeria, Gareeva, Regina, Dugova, Maria, Petrash, Ekaterina, Aleshina, Olga, Pisov, Maxim, Shirokikh, Boris, Samokhin, Valentin, Proskurov, Vladislav, Shimovolos, Stanislav, Basova, Maria, Goncahrov, Mikhail, Soboleva, Eugenia, Donskova, Maria, Yaushev, Farukh, Shevtsov, Alexey, Zakharov, Alexey, Saparov, Talgat, Gombolevskiy, Victor, Beliaev, 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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CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification von Goncharov, Mikhail, Pisov, Maxim, Shevtsov, Alexey, Shirokikh, Boris, Kurmukov, Anvar, Blokhin, Ivan, Chernina, Valeria, Solovev, Alexander, Gombolevskiy, Victor, Morozov, Sergey, Belyaev, Mikhail

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All-Fiber Highly Sensitive Bragg Grating Bend Sensor von Butov, Oleg V., Bazakutsa, Alexey P., Chamorovskiy, Yuri K., Fedorov, Artem N., Shevtsov, Igor’ A.

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In Silico Drug Repurposing in Multiple Sclerosis Using scRNA-Seq Data von Shevtsov, Andrey, Raevskiy, Mikhail, Stupnikov, Alexey, Medvedeva, Yulia

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