Mikhail Belyaev

发表

MRI Augmentation via Elastic Registration for Brain Lesions Segmentation

Egor Krivov, Maxim Pisov, Mikhail Belyaev, 2017, BrainLes@MICCAI.

Informational Provision of the Assessment of the Potential of the Innovative Development of a Territory

Mikhail Belyaev, Svetlana Sokolova, Victoria Batmanova, 2016 .

Classification of structural brain networks based on information divergence of graph spectra

Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

The comparison of automatic artifact removal methods with robust classification strategies in terms of EEG classification accuracy

Egor Krivov, Mikhail Belyaev, Pavel Merinov, 2015, 2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON).

Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging

Mikhail Belyaev, Yaroslav Shmulev, M. Belyaev, 2018, GRAIL/Beyond-MIC@MICCAI.

Reengineering of manufacturing processes in the construction organization

Mikhail Belyaev, Ramil Mavlioutov, Kristina Borisova, 2020, IOP Conference Series: Materials Science and Engineering.

It doesn't take a whole U-Net to find brain tumors: towards fast brain metastasis segmentation with sparse predictions

Egor Krivov, Mikhail Belyaev, 2018 .

Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting

Mikhail Belyaev, Artem Pimkin, Alexander Samoylenko, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification pdf

Maxim Pisov, Mikhail Belyaev, Alexey Zakharov, 2020, MICCAI.

Segthor: Segmentation of Thoracic Organs at Risk in CT Images

Mikhail Belyaev, Dmitry Denisenko, Artem Pimkin, 2019, SegTHOR@ISBI.

Brain Tumor Image Retrieval via Multitask Learning pdf

Maxim Pisov, Mikhail Belyaev, Alexandra Dalechina, 2018, ArXiv.

Filter bank extension for neural network-based motor imagery classification

Egor Krivov, Mikhail Belyaev, Pavel Merinov, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

MACHINE LEARNING IN GLIOMA SEGMENTATION FOR STEREOTACTIC RADIATION THERAPY PLANNING

Mikhail Belyaev, Igor Pronin, A. V. Dalechina, 2019 .

Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation

Egor Krivov, Mikhail Belyaev, Alexandra Dalechina, 2018, Patch-MI@MICCAI.

Type-Centric Kotlin Compiler Fuzzing: Preserving Test Program Correctness by Preserving Types pdf

Mikhail Belyaev, Marat Akhin, Daniil Stepanov, 2020, ArXiv.

Structural connectome validation using pairwise classification

Paul M. Thompson, Dmitry Petrov, Neda Jahanshad, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

First U-Net Layers Contain More Domain Specific Information Than The Last Ones pdf

Mikhail Belyaev, Boris Shirokikh, Ivan Zakazov, 2020, DART/DCL@MICCAI.

Boosting connectome classification via combination of geometric and topological normalizations

Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Simon Andermatt, Simon Pezold, Sang Hyun Park, 2019, IEEE Transactions on Medical Imaging.

CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification pdf

Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev, 2020, ArXiv.

Kernel classification of connectomes based on earth mover's distance between graph spectra pdf

Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, 2016, ArXiv.

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation

Anvar Kurmukov, Egor Krivov, Mikhail Belyaev, 2020, MICCAI.

Gaussian Process Regression for Structured Data Sets

Evgeny Burnaev, Mikhail Belyaev, Yermek Kapushev, 2015, SLDS.

Residual and plain convolutional neural networks for 3D brain MRI classification

Yulia Dodonova, Mikhail Belyaev, Sergey Korolev, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

GTApprox: Surrogate modeling for industrial design

Evgeny Burnaev, Ermek Kapushev, Dmitry P. Vetrov, 2016, Adv. Eng. Softw..

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation pdf

Egor Krivov, Maxim Pisov, Mikhail Belyaev, 2018, ICIAR.

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization

Egor Krivov, Mikhail Belyaev, Victor Gombolevskiy, 2021, J. Imaging.

Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation pdf

Mikhail Belyaev, Boris Shirokikh, Ivan Zakazov, 2021, MICCAI.

Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data

Mikhail Belyaev, Andrey Golanov, Anvar Kurmukov, 2021, MIE.

Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application pdf

Egor Krivov, Mikhail Belyaev, Alexandra Dalechina, 2021, ArXiv.

Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation pdf

Mikhail Belyaev, Boris Shirokikh, Talgat Saparov, 2021, DGM4MICCAI/DALI@MICCAI.

On Approximation of Reserve Factors Dependency on Loads for Composite Stiffened Panels

Stéphane Grihon, Mikhail Belyaev, Evgeny Burnaev, 2014 .

Exact Inference for Gaussian Process Regression in case of Big Data with the Cartesian Product Structure

Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev, 2014, 1403.6573.

Dimensionality reduction with isomap algorithm for EEG covariance matrices

Egor Krivov, Mikhail Belyaev, Egor Krivov, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).

Building Data Fusion Surrogate Models for Spacecraft Aerodynamic Problems with Incomplete Factorial Design of Experiments

Ermek Kapushev, Mikhail Belyaev, Evgeny Burnaev, 2014 .