Maxim Sharaev

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Pattern Recognition

Convolutional Neural Networks

Top Venues

Decis. Support Syst.

Frontiers Neuroinformatics

Publications

Maxim Sharaev, Maxim Nekrashevich, Daria Kostanian, Victoria Voinova, Olga Sysoeva
Auditory event-related potential differentiates girls with Rett syndrome from their typically-developing peers with high accuracy: Machine learning study. Cogn. Syst. Res. 85 (2024)
Valentina Bachurina, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Marie Arsalidou
A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements. Decis. Support Syst. 155 (2022)
Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. BrainLes@MICCAI (1) (2021)
Gurgen Soghoyan, Alexander Ledovsky, Maxim Nekrashevich, Olga Martynova, Irina Polikanova, Galina Portnova, Anna Rebreikina, Olga Sysoeva, Maxim Sharaev
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography. Frontiers Neuroinformatics 15 (2021)
Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey A. Subbotin, Alexander Bernstein, Evgeny Burnaev
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR (2020)
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV (2020)
Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) (2020)
Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Domain shift in computer vision models for MRI data analysis: an overview. ICMV (2020)
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR (2020)
Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR (2020)
Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR (2020)
Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev
Data-driven models and computational tools for neurolinguistics: a language technology perspective. CoRR (2020)
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction. CoRR (2019)
Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan
Topological data analysis in computer vision. ICMV (2019)
Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva
Machine learning models reproducibility and validation for MR images recognition. ICMV (2019)
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI (2019)
Vitaly Verkhlyutov, Maxim Sharaev, Vladislav Balaev, Alexei Osadtchi, Vadim L. Ushakov, Lyudmila I. Skiteva, Boris M. Velichkovsky
Towards localization of radial traveling waves in the evoked and spontaneous MEG: A solution based on the intra-cortical propagation hypothesis. BICA (2018)
Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR (2018)
Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov
fMRI: preprocessing, classification and pattern recognition. CoRR (2018)
Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein
Pattern Recognition Pipeline for Neuroimaging Data. ANNPR (2018)