| 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 | 110 | 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 | 52 | 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 | 42 | 2018 |
| 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 | 42 | 2018 |
| 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 | 35 | 2017 |
| 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 | 33 | 2021 |
| Basal ganglia lateralization in different types of reward M Arsalidou, S Vijayarajah, M Sharaev Brain Imaging and Behavior 14 (6), 2618-2646, 2020 | 31 | 2020 |
| 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 | 22 | 2021 |
| 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 | 21 | 2018 |
| 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 | 20 | 2019 |
| 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 | 19 | 2022 |
| 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 | 19 | 2019 |
| 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 | 18 | 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 | 18 | 2018 |
| 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 | 16 | 2021 |
| 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 | 14 | 2016 |
| 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 | 13 | 2020 |
| 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 | 13 | 2020 |
| 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 | 10 | 2019 |
| Machine learning approaches to mild cognitive impairment detection based on structural MRI data and morphometric features MO Zubrikhina, OV Abramova, VE Yarkin, VL Ushakov, AG Ochneva, ... Cognitive Systems Research 78, 87-95, 2023 | 9 | 2023 |
Evgeny BurnaevSkoltech, Full Professor, Head of Applied AI center, Head of research group, AIRI在 skoltech.ru 的电子邮件经过验证
