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Mikhail Belyaev
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2020 – today
- 2024
- [j9]Ekaterina Kondrateva
, Polina Druzhinina
Negligible effect of brain MRI data preprocessing for tumor segmentation. Biomed. Signal Process. Control. 96: 106599 (2024) - [c28]Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev:
Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation. ISBI 2024: 1-5 - [c27]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets:
Anatomical Positional Embeddings. MICCAI (10) 2024: 68-77 - [c26]Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov:
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. ShapeMI@MICCAI 2024: 84-96 - [i29]Aleksei Leonov, Aleksei Zakharov, Sergey Koshelev, Maxim Pisov, Anvar Kurmukov, Mikhail Belyaev:
Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation. CoRR abs/2405.15500 (2024) - [i28]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) - [i27]Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov:
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. CoRR abs/2408.01159 (2024) - [i26]Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets:
Anatomical Positional Embeddings. CoRR abs/2409.10291 (2024) - 2023
- [j8]Anton Vasiliuk
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation. J. Imaging 9(9): 191 (2023) - [j7]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: 102646 (2023) - [c25]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Redesigning Out-of-Distribution Detection on 3D Medical Images. UNSURE@MICCAI 2023: 126-135 - [c24]Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images. MICCAI (1) 2023: 605-614 - [i25]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 abs/2307.14725 (2023) - [i24]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Redesigning Out-of-Distribution Detection on 3D Medical Images. CoRR abs/2308.07324 (2023) - 2022
- [j6]Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency. J. Imaging 8(9): 234 (2022) - [j5]Boris Shirokikh
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. IEEE J. Biomed. Health Informatics 26(7): 3037-3046 (2022) - [c23]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. MICAD 2022: 15-26 - [i23]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) - [i22]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) - [i21]Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev:
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization. CoRR abs/2204.06818 (2022) - [i20]Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. CoRR abs/2211.00303 (2022) - 2021
- [j4]Boris Shirokikh
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. J. Imaging 7(2): 35 (2021) - [j3]Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. Medical Image Anal. 71: 102054 (2021) - [c22]Mikhail Goncharov, Valeria Chernina, Maxim Pisov, Victor Gombolevskiy
Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. MICAD 2021: 98-107 - [c21]Ivan Zakazov, Boris Shirokikh
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. MICCAI (3) 2021: 211-220 - [c20]Talgat Saparov, Anvar Kurmukov
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. DGM4MICCAI/DALI@MICCAI 2021: 243-250 - [c19]Anvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data. MIE 2021: 298-302 - [i19]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) - [i18]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) - [i17]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
- [c18]Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina
Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. IJCNN 2020: 1-6 - [c17]Boris Shirokikh
First U-Net Layers Contain More Domain Specific Information Than the Last Ones. DART/DCL@MICCAI 2020: 117-126 - [c16]Boris Shirokikh
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. MICCAI (4) 2020: 523-532 - [c15]Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. MICCAI (6) 2020: 723-732 - [i16]Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. CoRR abs/2005.11960 (2020) - [i15]Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification. CoRR abs/2006.01441 (2020) - [i14]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) - [i13]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
- [j2]Hugo J. Kuijf
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c14]Boris Shirokikh
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. BrainLes@MICCAI (1) 2019: 119-128 - [c13]Vladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev:
Segthor: Segmentation of Thoracic Organs at Risk in CT Images. SegTHOR@ISBI 2019 - [c12]Maxim Pisov
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. iMIMIC/ML-CDS@MICCAI 2019: 30-38 - [i12]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 abs/1904.00682 (2019) - [i11]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 abs/1908.04568 (2019) - [i10]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) - [i9]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 abs/1911.05530 (2019) - 2018
- [c11]Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. ICIAR 2018: 877-886 - [c10]Yaroslav Shmulev, Mikhail Belyaev
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. GRAIL/Beyond-MIC@MICCAI 2018: 83-91 - [c9]Egor Krivov, Valery Kostjuchenko
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. Patch-MI@MICCAI 2018: 122-129 - [i8]Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev:
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. CoRR abs/1802.00947 (2018) - [i7]Yaroslav Shmulev, Mikhail Belyaev:
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. CoRR abs/1807.11228 (2018) - [i6]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) - [i5]Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev:
Brain Tumor Image Retrieval via Multitask Learning. CoRR abs/1810.09369 (2018) - 2017
- [c8]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev
Structural connectome validation using pairwise classification. ISBI 2017: 451-455 - [c7]Sergey Korolev, Amir Safiullin, Mikhail Belyaev
Residual and plain convolutional neural networks for 3D brain MRI classification. ISBI 2017: 835-838 - [c6]Egor Krivov, Maxim Pisov
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. BrainLes@MICCAI 2017: 369-380 - [i4]Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova:
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification. CoRR abs/1701.06643 (2017) - [i3]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson:
Structural Connectome Validation Using Pairwise Classification. CoRR abs/1701.07847 (2017) - 2016
- [j1]Mikhail Belyaev
GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. 102: 29-39 (2016) - [c5]Egor Krivov, Mikhail Belyaev
Dimensionality reduction with isomap algorithm for EEG covariance matrices. BCI 2016: 1-4 - [c4]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: 1-6 - [c3]Pavel Merinov, Mikhail Belyaev
Filter bank extension for neural network-based motor imagery classification. MLSP 2016: 1-6 - [c2]Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev
Boosting connectome classification via combination of geometric and topological normalizations. PRNI 2016: 1-4 - [i2]Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky:
GTApprox: surrogate modeling for industrial design. CoRR abs/1609.01088 (2016) - [i1]Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov:
Kernel classification of connectomes based on earth mover's distance between graph spectra. CoRR abs/1611.08812 (2016) - 2015
- [c1]Mikhail Belyaev
Gaussian Process Regression for Structured Data Sets. SLDS 2015: 106-115
Coauthor Index
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last updated on 2024-12-10 20:45 CET by the dblp team
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