Boris Shirokikh

37 papers Journal 26Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation.
CoRR
Boris Shirokikh, Anvar Kurmukov, Maria Donskova, Valentin Samokhin, Mikhail Belyaev, Ivan V. Oseledets
2025 — conf
Random Direct Preference Optimization for Radiography Report Generation.
MedAGI
Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev
2025 J jnl
Random Direct Preference Optimization for Radiography Report Generation.
CoRR
Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev
2024 — conf
Anatomical Positional Embeddings.
MICCAI (10)
Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets
2024 J jnl
Anatomical Positional Embeddings.
CoRR
Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets
2024 J jnl
Negligible effect of brain MRI data preprocessing for tumor segmentation.
Biomed. Signal Process. Control.
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
2024 J jnl
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning.
CoRR
Anvar Kurmukov, Bogdan D. Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh
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
2023 J jnl
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal.
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
2023 J jnl
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation.
J. Imaging
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
2023 — conf
Redesigning Out-of-Distribution Detection on 3D Medical Images.
UNSURE@MICCAI
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
2023 J jnl
Redesigning Out-of-Distribution Detection on 3D Medical Images.
CoRR
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
2022 J jnl
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency.
J. Imaging
Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh
2022 J jnl
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency.
CoRR
Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh
2022 J jnl
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR
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
2022 — conf
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation.
MICAD
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
2022 J jnl
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation.
CoRR
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
2022 J jnl
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.
CoRR
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
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 — conf
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation.
MICCAI (3)
Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev
2021 J jnl
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation.
CoRR
Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, 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
2021 — conf
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.
DGM4MICCAI/DALI@MICCAI
Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev
2021 J jnl
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.
CoRR
Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, 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 J jnl
First U-Net Layers Contain More Domain Specific Information Than The Last Ones.
CoRR
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev
2020 — conf
First U-Net Layers Contain More Domain Specific Information Than the Last Ones.
DART/DCL@MICCAI
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, 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
2018 J jnl
Sparse Group Inductive Matrix Completion.
CoRR
Ivan Nazarov, Boris Shirokikh, Maria Burkina, Gennady Fedonin, Maxim Panov
2018 J jnl
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation.
CoRR
Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev
2018 — conf
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation.
Patch-MI@MICCAI
Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev