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ORCIDBoris Shirokikh
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2020 – today
- 2024
[j7]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: 106599 (2024)- [c8]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan Oseledets:
Anatomical Positional Embeddings. MICCAI (10) 2024: 68-77 - [i17]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) - [i16]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan Oseledets:
Anatomical Positional Embeddings. CoRR abs/2409.10291 (2024) - [i15]Anvar Kurmukov, Bogdan D. Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh:
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning. CoRR abs/2409.16733 (2024) - 2023
- [j6]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation. J. Imaging 9(9): 191 (2023) - [j5]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. 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: 102628 (2023) - [c7]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Redesigning Out-of-Distribution Detection on 3D Medical Images. UNSURE@MICCAI 2023: 126-135 - [i14]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Redesigning Out-of-Distribution Detection on 3D Medical Images. CoRR abs/2308.07324 (2023) - 2022
- [j4]Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh:
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency. J. Imaging 8(9): 234 (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) - [i13]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 abs/2201.02831 (2022) - [i12]Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh:
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency. CoRR abs/2203.14616 (2022) - [i11]Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov:
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. CoRR abs/2204.05278 (2022) - [i10]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. CoRR abs/2211.00303 (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) - [c6]Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev:
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. MICCAI (3) 2021: 211-220 - [c5]Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev:
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. DGM4MICCAI/DALI@MICCAI 2021: 243-250 - [i9]Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev:
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. CoRR abs/2107.04914 (2021) - [i8]Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev:
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. CoRR abs/2107.08543 (2021) - [i7]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
- [c4]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: 117-126 - [c3]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 - [i6]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) - [i5]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) - [i4]Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev:
First U-Net Layers Contain More Domain Specific Information Than The Last Ones. CoRR abs/2008.07357 (2020)
2010 – 2019
- 2019
- [c2]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 - [i3]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) - 2018
- [c1]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: 122-129 - [i2]Ivan Nazarov, Boris Shirokikh, Maria Burkina, Gennady Fedonin, Maxim Panov:
Sparse Group Inductive Matrix Completion. CoRR abs/1804.10653 (2018) - [i1]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 abs/1808.00244 (2018)
Coauthor Index
aka: Aleksandra Dalechina
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