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Mikhail Beliaev
Mikhail Beliaev
CEO, AUMI AI
Bestätigte E-Mail-Adresse bei aumi.ai
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Zitiert von
Zitiert von
Jahr
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
S Korolev, A Safiullin, M Belyaev, Y Dodonova
The IEEE International Symposium on Biomedical Imaging 2017, 835-838, 2017
4792017
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
2742019
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology 9, 679, 2018
1692018
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification
M Goncharov, M Pisov, A Shevtsov, B Shirokikh, A Kurmukov, I Blokhin, ...
Medical image analysis 71, 102054, 2021
882021
Gtapprox: Surrogate modeling for industrial design
M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ...
Advances in Engineering Software 102, 29-39, 2016
692016
Predicting Conversion of Mild Cognitive Impairments to Alzheimer’s Disease and Exploring Impact of Neuroimaging
Y Shmulev, M Belyaev
Integrating Medical Imaging and Non-Imaging Modalities, 83-91, 2018
382018
Surrogate modeling of stability constraints for optimization of composite structures
S Grihon, E Burnaev, M Belyaev, P Prikhodko
Surrogate-based modeling and optimization: Applications in engineering, 359-391, 2013
372013
Gaussian process regression for structured data sets
M Belyaev, E Burnaev, Y Kapushev
Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015
362015
Ensembling neural networks for digital pathology images classification and segmentation
A Pimkin, G Makarchuk, V Kondratenko, M Pisov, E Krivov, M Belyaev
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
352018
First U-Net layers contain more domain specific information than the last ones
B Shirokikh, I Zakazov, A Chernyavskiy, I Fedulova, M Belyaev
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
262020
Universal loss reweighting to balance lesion size inequality in 3D medical image segmentation
B Shirokikh, A Shevtsov, A Kurmukov, A Dalechina, E Krivov, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
262020
Computationally efficient algorithm for Gaussian Process regression in case of structured samples
M Belyaev, E Burnaev, Y Kapushev
Computational Mathematics and Mathematical Physics 56, 499-513, 2016
262016
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
M Pisov, V Kondratenko, A Zakharov, A Petraikin, V Gombolevskiy, ...
International Conference on Medical Image Computing and Computer Assisted …, 2020
242020
Anatomy of Domain Shift Impact on U-net Layers in MRI Segmentation
I Zakazov, B Shirokikh, A Chernyavskiy, M Belyaev
International Conference on Medical Image Computing and Computer-Assisted …, 2021
232021
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
M Pisov, M Goncharov, N Kurochkina, S Morozov, V Gombolevskiy, ...
Interpretability of Machine Intelligence in Medical Image Computing and …, 2019
232019
Approximation of a multidimensional dependency based on linear expansion in a dictionary of parametric functions
MG Belyaev, EV Burnaev
Информатика и её применения 7 (3), 114-125, 2013
202013
About hybrid algorithm for tuning of parameters in approximation based on linear expansions in parametric functions
E Burnaev, M Belyaev, PV Prihodko
Proceedings of the 8th International conference “Intelligent Information …, 2010
202010
Building data fusion surrogate models for spacecraft aerodynamic problems with incomplete factorial design of experiments
M Belyaev, E Burnaev, E Kapushev, S Alestra, M Dormieux, A Cavailles, ...
Advanced Materials Research 1016, 405-412, 2014
182014
Exact inference for gaussian process regression in case of big data with the cartesian product structure
M Belyaev, E Burnaev, Y Kapushev
arXiv preprint arXiv:1403.6573, 2014
182014
Interpretable vertebral fracture quantification via anchor-free landmarks localization
A Zakharov, M Pisov, A Bukharaev, A Petraikin, S Morozov, ...
Medical Image Analysis 83, 102646, 2023
172023
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