|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|Commentary: selective development of anticorrelated networks in the intrinsic functional organization of the human brain|
M Arsalidou, MG Sharaev, T Kotova, O Martynova
Frontiers in human neuroscience 11, 13, 2017
|Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry|
A Bernstein, E Burnaev, E Kondratyeva, S Sushchinskaya, M Sharaev, ...
arXiv preprint arXiv:1804.10163, 2018
|Consciousness in a multilevel architecture: What causes the lateralization of effective connectivity under resting state?|
BM Velichkovsky, VL Ushakov, MG Sharaev
Consciousness and cognition 73, 102755, 2019
|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)), 2019
|Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia|
VL Ushakov, MG Sharaev, IK Malashenkova, SA Krynskiy, SI Kartashov, ...
Procedia Computer Science 145, 596-603, 2018
|Dynamic causal modeling of brain electrical responses elicited by simple stimuli in visual oddball paradigm|
MG Sharaev, EV Mnatsakanian
Zhurnal vysshei nervnoi deiatelnosti imeni IP Pavlova 64 (6), 627-638, 2014
|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, 114332H, 2020
|Basal ganglia lateralization in different types of reward|
M Arsalidou, S Vijayarajah, M Sharaev
Brain Imaging and Behavior, 1-29, 2020
|Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction|
M Pominova, A Kuzina, E Kondrateva, S Sushchinskaya, E Burnaev, ...
Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019
|Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition|
M Sharaev, A Smirnov, T Melnikova-Pitskhelauri, V Orlov, E Burnaev, ...
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 292-298, 2018