Maxim Sharaev
Orcid: 0000-0002-5670-2891
According to our database1,
Maxim Sharaev
authored at least 30 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology.
Inf. Sci., 2025
Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images.
Inf. Sci., 2025
2024
Auditory event-related potential differentiates girls with Rett syndrome from their typically-developing peers with high accuracy: Machine learning study.
Cogn. Syst. Res., 2024
MEGFormer: Enhancing Speech Decoding from Brain Activity Through Extended Semantic Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
New approaches to clinical electroencephalography analysis in typically developing children and children with autism.
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.
Decis. Support Syst., 2022
2021
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography.
Frontiers Neuroinformatics, 2021
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
CoRR, 2020
CoRR, 2020
Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women.
CoRR, 2020
Data-driven models and computational tools for neurolinguistics: a language technology perspective.
CoRR, 2020
Proceedings of the Thirteenth International Conference on Machine Vision, 2020
Proceedings of the Thirteenth International Conference on Machine Vision, 2020
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020
2019
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
Proceedings of the Twelfth International Conference on Machine Vision, 2019
Proceedings of the Twelfth International Conference on Machine Vision, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry.
CoRR, 2018
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.
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.
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.
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.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
2017
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017