Boris Shirokikh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Filtered Back Projection

Domain Adaptation

Image Segmentation

Top Venues

Medical Image Anal.

Biomed. Signal Process. Control.

Publications

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 (2024)
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
Negligible effect of brain MRI data preprocessing for tumor segmentation. Biomed. Signal Process. Control. 96 (2024)
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
Redesigning Out-of-Distribution Detection on 3D Medical Images. CoRR (2023)
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation. J. Imaging 9 (9) (2023)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83 (2023)
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
Redesigning Out-of-Distribution Detection on 3D Medical Images. UNSURE@MICCAI (2023)
Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency. J. Imaging 8 (9) (2022)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR (2022)
Daria Frolova, Anton Vasiliuk, Mikhail Belyaev, Boris Shirokikh
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images. CoRR (2022)
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. CoRR (2022)
Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency. CoRR (2022)
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) (2022)
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. CoRR (2022)
Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. CoRR (2021)
Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. MICCAI (3) (2021)
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 (2021)
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) (2021)
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 (2021)
Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. DGM4MICCAI/DALI@MICCAI (2021)
Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. CoRR (2021)
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev
First U-Net Layers Contain More Domain Specific Information Than The Last Ones. CoRR (2020)
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 (2020)
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 (2020)
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev
First U-Net Layers Contain More Domain Specific Information Than the Last Ones. DART/DCL@MICCAI (2020)
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)
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)
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 (2019)
Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation. CoRR (2018)
Ivan Nazarov, Boris Shirokikh, Maria Burkina, Gennady Fedonin, Maxim Panov
Sparse Group Inductive Matrix Completion. CoRR (2018)
Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. Patch-MI@MICCAI (2018)