Mikhail Belyaev

71 papers B 1Journal 41Unranked 29

Year	Rank	Type	Title / 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	J	`jnl`	Medical Semantic Segmentation with Diffusion Pretrain. CoRR David Li, Anvar Kurmukov, Mikhail Goncharov, Roman Sokolov, Mikhail Belyaev
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`	Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation. CoRR Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev
2024	—	`conf`	Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation. ISBI Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev
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	—	`conf`	Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. ShapeMI@MICCAI Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov
2024	J	`jnl`	Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. CoRR Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov
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`	Interpretable vertebral fracture quantification via anchor-free landmarks localization. Medical Image Anal. Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev
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
2023	—	`conf`	vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. MICCAI (1) Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
2023	J	`jnl`	vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images. CoRR Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
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	—	`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`	Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization. CoRR Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev
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	—	`conf`	Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data. MIE Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva
2021	—	`conf`	Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. MICAD Mikhail Goncharov, Valeria Chernina, Maxim Pisov, 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`	Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. MICCAI (6) Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2020	J	`jnl`	Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. CoRR Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
2020	B	`conf`	Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. IJCNN Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, 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
2019	—	`conf`	Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. iMIMIC/ML-CDS@MICCAI Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev
2019	J	`jnl`	Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. CoRR Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev
2019	J	`jnl`	Multi-domain CT metal artifacts reduction using partial convolution based inpainting. CoRR Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev
2019	—	`conf`	Segthor: Segmentation of Thoracic Organs at Risk in CT Images. SegTHOR@ISBI Vladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR 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 Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 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 Li Hsian 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
2018	J	`jnl`	Brain Tumor Image Retrieval via Multitask Learning. CoRR Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev
2018	—	`conf`	Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. ICIAR Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev
2018	J	`jnl`	Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. CoRR Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev
2018	—	`conf`	Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. GRAIL/Beyond-MIC@MICCAI Yaroslav Shmulev, Mikhail Belyaev
2018	J	`jnl`	Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. CoRR Yaroslav Shmulev, Mikhail Belyaev
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
2017	—	`conf`	MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. BrainLes@MICCAI Egor Krivov, Maxim Pisov, Mikhail Belyaev
2017	J	`jnl`	Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification. CoRR Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova
2017	—	`conf`	Residual and plain convolutional neural networks for 3D brain MRI classification. ISBI Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova
2017	J	`jnl`	Structural Connectome Validation Using Pairwise Classification. CoRR Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson
2017	—	`conf`	Structural connectome validation using pairwise classification. ISBI Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson
2016	—	`conf`	Boosting connectome classification via combination of geometric and topological normalizations. PRNI Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev
2016	—	`conf`	Classification of structural brain networks based on information divergence of graph spectra. MLSP Yulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev
2016	—	`conf`	Dimensionality reduction with isomap algorithm for EEG covariance matrices. BCI Egor Krivov, Mikhail Belyaev
2016	—	`conf`	Filter bank extension for neural network-based motor imagery classification. MLSP Pavel Merinov, Mikhail Belyaev, Egor Krivov
2016	J	`jnl`	GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
2016	J	`jnl`	GTApprox: surrogate modeling for industrial design. CoRR Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
2016	J	`jnl`	Kernel classification of connectomes based on earth mover's distance between graph spectra. CoRR Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov
2015	—	`conf`	Gaussian Process Regression for Structured Data Sets. SLDS Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev