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Maxim Sharaev
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2020 – today
- 2025
- [j6]N. Alsahanova
, V. Yarkin
Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Inf. Sci. 686: 121354 (2025) - [j5]Svetlana Illarionova
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) - [c19]Maria Boyko
MEGFormer: Enhancing Speech Decoding from Brain Activity Through Extended Semantic Representations. MICCAI (2) 2024: 281-290 - 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
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) - [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
- [j1]Gurgen Soghoyan
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography. Frontiers Neuroinformatics 15: 720229 (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
Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) 2020: 229-241 - [c15]Ekaterina Kondrateva
Domain shift in computer vision models for MRI data analysis: an overview. ICMV 2020: 116050H - [c14]Marina Pominova, Ekaterina Kondrateva
Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV 2020: 116051Z - [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)
2010 – 2019
- 2019
- [c13]Sergey Pavlov, Alexey Artemov
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
Machine learning models reproducibility and validation for MR images recognition. ICMV 2019: 114330Z - [c10]Alexander Bernstein, Eugeny Burnaev
Topological data analysis in computer vision. ICMV 2019: 114332H - [c9]Marina Pominova, Anna Kuzina, Ekaterina Kondrateva
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI 2019: 158-166 - [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
- [c8]Maxim Sharaev
Pattern Recognition Pipeline for Neuroimaging Data. ANNPR 2018: 306-319 - [c7]Vadim L. Ushakov
Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia. BICA 2018: 596-603 - [c6]Vitaly Verkhlyutov
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
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
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
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
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops 2018: 308-314 - [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) - 2017
- [c1]Maksim Sharaev
Information transfer between rich-club structures in the human brain. BICA 2017: 440-445
Coauthor Index
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