Mikhail Belyaev - researchr profile publications

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Publications with a 'Mikhail Belyaev' as author, editor, or advisor:

LLVM-based static analysis tool using type and effect systemsM. Belyaev, V. Tsesko. accs, 46(7):324-330, 2012. [doi]
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation ChallengeHugo 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 Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso. tmi, 38(11):2556-2568, 2019. [doi]
GTApprox: Surrogate modeling for industrial designMikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel Prikhodko, Dmitry Vetrov, Dmitry Yarotsky. aes, 102:29-39, 2016. [doi]
Limitations of Out-of-Distribution Detection in 3D Medical Image SegmentationAnton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh. jimaging, 9(9):191, 2023. [doi]
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image SegmentationBoris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev. miccai 2020: 523-532 [doi]
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical EvaluationBoris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin 0002, Ivan Osinov, Andrey Golanov, Mikhail Belyaev. brainles-ws 2020: 119-128 [doi]
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of NeuroimagingYaroslav Shmulev, Mikhail Belyaev. miccai 2018: 83-91 [doi]
MRI Augmentation via Elastic Registration for Brain Lesions SegmentationEgor Krivov, Maxim Pisov, Mikhail Belyaev. miccai 2018: 369-380 [doi]
Boosting connectome classification via combination of geometric and topological normalizationsDmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev. prni 2016: 1-4 [doi]
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target LocalizationBoris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev. jimaging, 7(2):35, 2021. [doi]
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery ApplicationBoris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin 0002, Andrey Golanov, Mikhail Belyaev. titb, 26(7):3037-3046, 2022. [doi]
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps ConsistencyStanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, Boris Shirokikh. jimaging, 8(9):234, 2022. [doi]
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical DataAnvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, Mikhail Belyaev, Svetlana Zolotova, Andrey Golanov, Anna Nikolaeva. mie 2021: 298-302 [doi]
Filter bank extension for neural network-based motor imagery classificationPavel Merinov, Mikhail Belyaev, Egor Krivov. mlsp 2016: 1-6 [doi]
Structural connectome validation using pairwise classificationDmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul Thompson. isbi 2017: 451-455 [doi]
Residual and plain convolutional neural networks for 3D brain MRI classificationSergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova. isbi 2017: 835-838 [doi]
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationMaxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev. miccai 2020: 723-732 [doi]
Redesigning Out-of-Distribution Detection on 3D Medical ImagesAnton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh. miccai 2023: 126-135 [doi]
Segthor: Segmentation of Thoracic Organs at Risk in CT ImagesVladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev. isbi 2019: [doi]
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationIvan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev. miccai 2021: 211-220 [doi]
Dimensionality reduction with isomap algorithm for EEG covariance matricesEgor Krivov, Mikhail Belyaev. bci3 2016: 1-4 [doi]
Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based InpaintingArtem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev. ijcnn 2020: 1-6 [doi]
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection AugmentationTalgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev. miccai 2021: 243-250 [doi]
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch GenerationEgor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev. miccai 2018: 122-129 [doi]
Classification of structural brain networks based on information divergence of graph spectraYulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev. mlsp 2016: 1-6 [doi]
Gaussian Process Regression for Structured Data SetsMikhail Belyaev, Evgeny Burnaev, Yermek Kapushev. slds 2015: 106-115 [doi]
Ensembling Neural Networks for Digital Pathology Images Classification and SegmentationArtem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev. iciar 2018: 877-886 [doi]
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift DetectionMaxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevsky, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Cheskova, Igor Pronin, Michael Shifrin, Mikhail Belyaev. miccai 2019: 30-38 [doi]
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical ImagesMikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev. miccai 2023: 605-614 [doi]
Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography ImagesMikhail Goncharov, Valeria Chernina, Maxim Pisov, Victor Gombolevskiy, Sergey Morozov 0002, Mikhail Belyaev. micad2 2021: 98-107 [doi]
First U-Net Layers Contain More Domain Specific Information Than the Last OnesBoris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev. miccai 2020: 117-126 [doi]
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantificationMikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan A. Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev. mia, 71:102054, 2021. [doi]
Interpretable vertebral fracture quantification via anchor-free landmarks localizationAlexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov 0002, Victor Gombolevskiy, Mikhail Belyaev. mia, 83:102646, 2023. [doi]

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