Mikhail Belyaev

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 61

Top Topics

Pairwise Classification

Tumor Segmentation

Image Segmentation

Top Venues

Medical Image Anal.

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)
Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev
Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation. CoRR (2024)
Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images. CoRR (2023)
Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh
Redesigning Out-of-Distribution Detection on 3D Medical Images. CoRR (2023)
Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. MICCAI (1) (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)
Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev
Interpretable vertebral fracture quantification via anchor-free landmarks localization. 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)
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)
Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization. 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)
Mikhail Goncharov, Valeria Chernina, Maxim Pisov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. MICAD (2021)
Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data. MIE (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)
Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. CoRR (2020)
Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. MICCAI (6) (2020)
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)
Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev
Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. IJCNN (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)
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR (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. BrainLes@MICCAI (1) (2019)
Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. iMIMIC/ML-CDS@MICCAI (2019)
Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev
Multi-domain CT metal artifacts reduction using partial convolution based inpainting. CoRR (2019)
Vladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev
Segthor: Segmentation of Thoracic Organs at Risk in CT Images. SegTHOR@ISBI (2019)
Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. CoRR (2019)
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38 (11) (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)
Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. 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. CoRR (2018)
Yaroslav Shmulev, Mikhail Belyaev
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. CoRR (2018)
Yaroslav Shmulev, Mikhail Belyaev
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. GRAIL/Beyond-MIC@MICCAI (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)
Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev
Brain Tumor Image Retrieval via Multitask Learning. CoRR (2018)
Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. ICIAR (2018)
Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson
Structural connectome validation using pairwise classification. ISBI (2017)
Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification. CoRR (2017)
Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova
Residual and plain convolutional neural networks for 3D brain MRI classification. ISBI (2017)
Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson
Structural Connectome Validation Using Pairwise Classification. CoRR (2017)
Egor Krivov, Maxim Pisov, Mikhail Belyaev
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. BrainLes@MICCAI (2017)
Yulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev
Classification of structural brain networks based on information divergence of graph spectra. MLSP (2016)
Egor Krivov, Mikhail Belyaev
Dimensionality reduction with isomap algorithm for EEG covariance matrices. BCI (2016)
Pavel Merinov, Mikhail Belyaev, Egor Krivov
Filter bank extension for neural network-based motor imagery classification. MLSP (2016)
Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov
Kernel classification of connectomes based on earth mover's distance between graph spectra. CoRR (2016)
Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev
Boosting connectome classification via combination of geometric and topological normalizations. PRNI (2016)
Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. 102 (2016)
Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
GTApprox: surrogate modeling for industrial design. CoRR (2016)
Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev
Gaussian Process Regression for Structured Data Sets. SLDS (2015)