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2020 – today
- 2024
[i5]Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev:
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study. CoRR abs/2406.08137 (2024)- 2022
- [j3]Boris Shirokikh
, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev:
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. IEEE J. Biomed. Health Informatics 26(7): 3037-3046 (2022) - 2021
- [j2]Boris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. J. Imaging 7(2): 35 (2021) - [j1]Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. Medical Image Anal. 71: 102054 (2021) - [i4]Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev:
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. CoRR abs/2108.09535 (2021) - 2020
- [c2]Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev:
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. MICCAI (4) 2020: 523-532 - [i3]Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification. CoRR abs/2006.01441 (2020) - [i2]Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev:
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. CoRR abs/2007.10033 (2020)
2010 – 2019
- 2019
- [c1]Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev:
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. BrainLes@MICCAI (1) 2019: 119-128 - [i1]Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev:
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. CoRR abs/1909.02799 (2019)
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