Alexey Shevtsov

11 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography.
MICAD
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 Goncharov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev
2024 J jnl
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.
CoRR
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
2022 J jnl
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
IEEE J. Biomed. Health Informatics
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev
2021 J jnl
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.
J. Imaging
Boris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2021 J jnl
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical Image Anal.
Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2021 J jnl
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
CoRR
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev
2020 J jnl
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification.
CoRR
Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2020 — conf
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.
MICCAI (4)
Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
2020 J jnl
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.
CoRR
Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
2019 — conf
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.
BrainLes@MICCAI (1)
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev
2019 J jnl
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.
CoRR
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev