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Maxim Sharaev
Maxim Sharaev
Skoltech
Подтвержден адрес электронной почты в домене skoltech.ru
Название
Процитировано
Процитировано
Год
Effective connectivity within the default mode network: dynamic causal modeling of resting-state fMRI data
MG Sharaev, VV Zavyalova, VL Ushakov, SI Kartashov, BM Velichkovsky
Frontiers in human neuroscience 10, 14, 2016
1092016
Dynamic causal modeling of hippocampal links within the human default mode network: lateralization and computational stability of effective connections
V Ushakov, MG Sharaev, SI Kartashov, VV Zavyalova, VM Verkhlyutov, ...
Frontiers in human neuroscience 10, 528, 2016
512016
Voxelwise 3d convolutional and recurrent neural networks for epilepsy and depression diagnostics from structural and functional mri data
M Pominova, A Artemov, M Sharaev, E Kondrateva, A Bernstein, ...
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 299-307, 2018
392018
Consciousness in a multilevel architecture: Evidence from the right side of the brain
BM Velichkovsky, OA Krotkova, AA Kotov, VA Orlov, VM Verkhlyutov, ...
Consciousness and cognition 64, 227-239, 2018
392018
In search of the" I": Neuropsychology of lateralized thinking meets Dynamic Causal Modeling
VL Ushakov, BM Velichkovsky, OA Krotkova, MG Sharaev
Psychology in Russia 10 (3), 7, 2017
342017
Basal ganglia lateralization in different types of reward
M Arsalidou, S Vijayarajah, M Sharaev
Brain imaging and behavior 14, 2618-2646, 2020
262020
Domain shift in computer vision models for mri data analysis: an overview
E Kondrateva, M Pominova, E Popova, M Sharaev, A Bernstein, ...
Thirteenth International Conference on Machine Vision 11605, 126-133, 2021
252021
Pattern recognition pipeline for neuroimaging data
M Sharaev, A Andreev, A Artemov, E Burnaev, E Kondratyeva, ...
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 306-319, 2018
202018
Learning connectivity patterns via graph kernels for fmri-based depression diagnostics
M Sharaev, A Artemov, E Kondrateva, S Ivanov, S Sushchinskaya, ...
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 308-314, 2018
182018
Mri-based diagnostics of depression concomitant with epilepsy: in search of the potential biomarkers
M Sharaev, A Artemov, E Kondrateva, S Sushchinskaya, E Burnaev, ...
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
182018
3D Deformable Convolutions for MRI classification
M Pominova, E Kondrateva, M Sharaev, A Bernstein, S Pavlov, E Burnaev
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
172019
Two visual systems and their eye movements: a fixation-based event-related experiment with ultrafast fMRI reconciles competing views
BM Velichkovsky, AN Korosteleva, S Pannasch, JR Helmert, VA Orlov, ...
Современные технологии в медицине 11 (4 (eng)), 7-16, 2019
172019
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography
G Soghoyan, A Ledovsky, M Nekrashevich, O Martynova, I Polikanova, ...
Frontiers in Neuroinformatics 15 (720229), 1-14, 2021
162021
Causal interactions within the default mode network as revealed by low-frequency brain fluctuations and information transfer entropy
M Sharaev, V Ushakov, B Velichkovsky
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists …, 2016
142016
New Insights into the Human Brain’s Cognitive Organization: Views from the Top, from the Bottom, from the Left and, particularly, from the Right
B Velichkovsky, A Nedoluzhko, E Goldberg, O Efimova, F Sharko, ...
Procedia Computer Science 169, 547-557, 2020
132020
Topological data analysis in computer vision
A Bernstein, E Burnaev, M Sharaev, E Kondrateva, O Kachan
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 673-679, 2020
102020
Fader networks for domain adaptation on fmri: abide-ii study
M Pominova, E Kondrateva, M Sharaev, A Bernstein, E Burnaev
Thirteenth International Conference on Machine Vision 11605, 570-577, 2021
92021
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
S Pavlov, A Artemov, M Sharaev, A Bernstein, E Burnaev
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
92019
Information transfer between rich-club structures in the human brain
M Sharaev, V Orlov, V Ushakov, B Velichkovsky
Procedia computer science 123, 440-445, 2018
92018
A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements
V Bachurina, S Sushchinskaya, M Sharaev, E Burnaev, M Arsalidou
Decision Support Systems 155, 113713, 2022
82022
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