Maxim Sharaev

According to our database, Maxim Sharaev authored at least 26 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

New approaches to clinical electroencephalography analysis in typically developing children and children with autism.

Galina Portnova, Maxim Nekrashevich, M. V. Morozova, Olga Martynova, Maxim G. Sharaev

Cogn. Syst. Res., March, 2023

2022

A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements.

Valentina Bachurina, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Marie Arsalidou

Decis. Support Syst., 2022

2021

A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography.

Gurgen Soghoyan, Alexander Ledovsky, Maxim Nekrashevich, Olga Martynova, Irina Polikanova, Galina Portnova, Anna Rebreikina, Olga Sysoeva, Maxim Sharaev

Frontiers Neuroinformatics, 2021

BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance.

Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia.

Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev

CoRR, 2020

Domain Shift in Computer Vision models for MRI data analysis: An Overview.

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

CoRR, 2020

Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women.

Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

CoRR, 2020

Data-driven models and computational tools for neurolinguistics: a language technology perspective.

Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev

CoRR, 2020

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

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

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

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

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

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Interpretation of 3D CNNs for Brain MRI Data Classification.

Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

2019

Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.

Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Machine learning models reproducibility and validation for MR images recognition.

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

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Topological data analysis in computer vision.

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

Proceedings of the Twelfth International Conference on Machine Vision, 2019

3D Deformable Convolutions for MRI Classification.

Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem.

Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

fMRI: preprocessing, classification and pattern recognition.

Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov

CoRR, 2018

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry.

Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov

CoRR, 2018

Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition.

Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.

Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data.

Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers.

Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Towards localization of radial traveling waves in the evoked and spontaneous MEG: A solution based on the intra-cortical propagation hypothesis.

Vitaly Verkhlyutov, Maxim Sharaev, Vladislav Balaev, Alexei Osadtchi, Vadim L. Ushakov, Lyudmila I. Skiteva, Boris M. Velichkovsky

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia.

Vadim L. Ushakov, Maxim G. Sharaev, Irina K. Malashenkova, Sergey A. Krynskiy, Sergey I. Kartashov, Vyacheslav A. Orlov, Denis G. Malakhov, Nikita A. Hailov, Daniil P. Ogurtsov, Natalia V. Zakharova, Nikolay A. Didkovsky, Aleksandra V. Maslennikova, Andrey Yu. Arkhipov, Valeria B. Strelets, Marie Arsalidou, Boris M. Velichkovsky, Georgy P. Kostyuk

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

Pattern Recognition Pipeline for Neuroimaging Data.

Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

Information transfer between rich-club structures in the human brain.

Maksim Sharaev, Vyacheslav A. Orlov, Vadim L. Ushakov, Boris M. Velichkovsky

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017