Prof. Alexander V. Bernstein Profile

Prof. Alexander V. Bernstein

at Skolkovo Institute of Science and Technology

SPIE Involvement:

Author | Editor

Proceedings Article | 7 June 2023 Paper

Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks

Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev

Proceedings Volume 12701, 127011D (2023) https://doi.org/10.1117/12.2679806

KEYWORDS: Electroencephalography, Data modeling, Deformation, Convolution, Feature extraction, Machine learning, 3D modeling

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Proceedings Article | 4 January 2021 Paper

Domain shift in computer vision models for MRI data analysis: an overview

Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Proceedings Volume 11605, 116050H (2021) https://doi.org/10.1117/12.2587872

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Proceedings Article | 4 January 2021 Paper

Fader networks for domain adaptation on fMRI: ABIDE-II study

Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evegeny Burnaev

Proceedings Volume 11605, 116051Z (2021) https://doi.org/10.1117/12.2587348

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Proceedings Article | 31 January 2020 Paper

Topological data analysis in computer vision

Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan

Proceedings Volume 11433, 114332H (2020) https://doi.org/10.1117/12.2562501

KEYWORDS: Image segmentation, Video, Clouds

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Proceedings Article | 31 January 2020 Paper

Machine learning models reproducibility and validation for MR images recognition

Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva

Proceedings Volume 11433, 114330Z (2020) https://doi.org/10.1117/12.2559525

KEYWORDS: Data modeling, Epilepsy, Magnetic resonance imaging, Machine learning, Performance modeling, Brain, Statistical modeling, Functional magnetic resonance imaging, Computer vision technology

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Proceedings Article | 13 April 2018 Paper

Reinforcement learning in computer vision

A. Bernstein, E. Burnaev

Proceedings Volume 10696, 106961S (2018) https://doi.org/10.1117/12.2309945

KEYWORDS: Visualization, Machine vision, Computer vision technology, Image filtering, Sensors, Machine learning, Image processing, Detection and tracking algorithms, Image segmentation, Robots

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Proceedings Article | 17 March 2017 Paper

Machine vision and appearance based learning

Alexander Bernstein

Proceedings Volume 10341, 103411O (2017) https://doi.org/10.1117/12.2268723

KEYWORDS: Machine vision, Space robots, Cameras, Mobile robots, Visualization, Machine learning, Imaging systems, Sensing systems, Navigation systems, Visual process modeling

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Proceedings Article | 8 February 2017 Paper

Manifold learning in machine vision and robotics

Alexander Bernstein

Proceedings Volume 10253, 102530G (2017) https://doi.org/10.1117/12.2270550

KEYWORDS: Robotics, Machine vision, Data modeling, Cameras, Image registration, Space robots, Visual process modeling, Control systems, Image classification, Machine learning

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Proceedings Article | 8 December 2015 Paper

Locally isometric and conformal parameterization of image manifold

A. Bernstein, A. Kuleshov, Yu. Yanovich

Proceedings Volume 9875, 987507 (2015) https://doi.org/10.1117/12.2228741

KEYWORDS: Statistical image analysis, Vector spaces, Reconstruction algorithms, Error analysis, Matrices, Data modeling, Image transmission, Machine vision, Image analysis, Detection and tracking algorithms

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Proceedings Article | 24 December 2013 Paper

Tangent bundle Manifold Learning for image analysis

A. Kuleshov, A. Bernstein

Proceedings Volume 9067, 906720 (2013) https://doi.org/10.1117/12.2050125

KEYWORDS: Vector spaces, Image analysis, Matrices, Reconstruction algorithms, Machine vision, Principal component analysis, Error analysis, Statistical analysis, Associative arrays, Astatine

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Showing 5 of 10 publications

SPIE Conference Volume | 28 April 2017

2016 International Conference on Robotics and Machine Vision

Conference Committee Involvement (1)

2016 International Conference on Robotics and Machine Vision

14 September 2016 | Moscow, Russia

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