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ORCIDMaxim Sharaev
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Journal Articles
- 2025
[j6]N. Alsahanova
, V. Yarkin, E. Spodarev, O. Bronov, V. Bychenko, A. Marinets, E. Syrkashev, O. Karpov, Evgeny Burnaev, Alexander Bernstein, V. Alferova, Maxim Sharaev:
Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Inf. Sci. 686: 121354 (2025)- [j5]Svetlana Illarionova, Rifat A. Hamoudi, M. Zapevalina, I. Fedin, N. Alsahanova, Alexander Bernstein, Evgeny Burnaev, V. Alferova, Ekaterina Khrameeva, D. Shadrin, I. Talaat, A. Bouridane, Maxim Sharaev:
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Inf. Sci. 686: 121358 (2025) - 2024
- [j4]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: 101214 (2024) - 2023
- [j3]Galina Portnova, Maxim Nekrashevich, M. V. Morozova, Olga Martynova, Maxim G. Sharaev:
New approaches to clinical electroencephalography analysis in typically developing children and children with autism. Cogn. Syst. Res. 78: 23-32 (2023) - 2022
- [j2]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: 113713 (2022) - 2021
- [j1]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: 720229 (2021)
Conference and Workshop Papers
- 2024
- [c19]Maria Boyko, Polina Druzhinina, Georgii Kormakov, Aleksandra Beliaeva, Maxim Sharaev:
MEGFormer: Enhancing Speech Decoding from Brain Activity Through Extended Semantic Representations. MICCAI (2) 2024: 281-290 - 2022
- [c18]Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev:
Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV 2022 - 2021
- [c17]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: 194-203 - 2020
- [c16]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: 229-241 - [c15]Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Domain shift in computer vision models for MRI data analysis: an overview. ICMV 2020: 116050H - [c14]Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV 2020: 116051Z - 2019
- [c13]Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. ICMLA 2019: 1600-1605 - [c12]Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev:
3D Deformable Convolutions for MRI Classification. ICMLA 2019: 1710-1716 - [c11]Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva:
Machine learning models reproducibility and validation for MR images recognition. ICMV 2019: 114330Z - [c10]Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan:
Topological data analysis in computer vision. ICMV 2019: 114332H - [c9]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: 158-166 - 2018
- [c8]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: 306-319 - [c7]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:
Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia. BICA 2018: 596-603 - [c6]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: 617-622 - [c5]Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev:
MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. DSAA 2018: 555-564 - [c4]Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein:
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. ICDM Workshops 2018: 292-298 - [c3]Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev:
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops 2018: 299-307 - [c2]Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev:
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops 2018: 308-314 - 2017
- [c1]Maksim Sharaev, Vyacheslav A. Orlov, Vadim L. Ushakov, Boris M. Velichkovsky:
Information transfer between rich-club structures in the human brain. BICA 2017: 440-445
Informal and Other Publications
- 2020
- [i10]Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev:
Data-driven models and computational tools for neurolinguistics: a language technology perspective. CoRR abs/2003.10540 (2020) - [i9]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 abs/2006.15969 (2020) - [i8]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 abs/2010.07222 (2020) - [i7]Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR abs/2010.07233 (2020) - [i6]Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev:
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR abs/2010.10373 (2020) - 2019
- [i5]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 abs/1905.10550 (2019) - [i4]Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. CoRR abs/1911.01738 (2019) - [i3]Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev:
3D Deformable Convolutions for MRI classification. CoRR abs/1911.01898 (2019) - 2018
- [i2]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 abs/1804.10163 (2018) - [i1]Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov:
fMRI: preprocessing, classification and pattern recognition. CoRR abs/1804.10167 (2018)
Coauthor Index
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last updated on 2025-01-21 00:25 CET by the dblp team
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