| 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 | 10 | 2023 |
| Resting-state fMRI in preoperative non-invasive mapping in patients with left hemisphere glioma AS Smirnov, TV Melnikova-Pitskhelauri, MG Sharaev, VY Zhukov, ... Zhurnal Voprosy Neirokhirurgii Imeni NN Burdenko 84 (4), 17-25, 2020 | 8 | 2020 |
| Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction M Pominova, A Kuzina, E Kondrateva, S Sushchinskaya, E Burnaev, ... Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 6 | 2019 |
| BRATS2021: Exploring each sequence in multi-modal input for baseline u-net performance P Druzhinina, E Kondrateva, A Bozhenko, V Yarkin, M Sharaev, ... International MICCAI Brainlesion Workshop, 194-203, 2021 | 2 | 2021 |
| Brain Cognitive Architectures Mapping for Neurosurgery: Resting-State fMRI and Intraoperative Validation M Sharaev, T Melnikova-Pitskhelauri, A Smirnov, A Bozhenko, V Yarkin, ... Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA* AI …, 2021 | 2 | 2021 |
| Machine learning for resting state fMRI-based preoperative mapping: comparison with task-based fMRI and direct cortical stimulation IN Pronin, MG Sharaev, TV Melnikova-Pitskhelauri, AS Smirnov, ... Zh Vopr Neirokhir Im NN Burdenko 86 (4), 25-32, 2022 | 1 | 2022 |
| A Comparison of Regional Brain Volumes in Older Adults With and Without History of COVID-19: Региональные объемы мозга у пожилых людей с наличием и отсутствием COVID-19 в анамнезе T Syunyakov, M Sharaev, V Savilov, O Karpenko, M Kurmyshev, V Yarkin, ... Consortium Psychiatricum 3 (1), 76, 2022 | 1 | 2022 |
| Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images N Alsahanova, V Yarkin, E Spodarev, O Bronov, V Bychenko, A Marinets, ... Information Sciences, 121354, 2024 | | 2024 |
| Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learning V Iarkin, EEC de Jong, R Hendrix, F Verhaegen, CJA Wolfs Physics in Medicine & Biology 69 (16), 165030, 2024 | | 2024 |
| Comparison of resting state and task-based functional MRI in preoperative mapping in patients with brain gliomas AS Smirnov, TV Melnikova-Pitskhelauri, MG Sharaev, VE Yarkin, ... Zhurnal Voprosy Neirokhirurgii Imeni NN Burdenko 86 (4), 33-40, 2022 | | 2022 |
| fMRI: preprocessing, classification and pattern recognition M Sharaev, A Andreev, A Artemov, A Bernstein, E Burnaev, ... arXiv preprint arXiv:1804.10167, 2018 | | 2018 |
| Automated focal cortical dysplasia detection on brain MR images using image analysis N Alsahanova, V Yarkin, M Sharaev, O Bronov, V Bychenko, A Marinets, ... | | |
