| 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 | 46 | 2018 |
| 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 | 37 | 2021 |
| 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 | 19 | 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 | 17 | 2021 |
| 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 | 15 | 2020 |
| Diagnosis of schizophrenia based on the data of various modalities: biomarkers and machine learning techniques MG Sharaev, IK Malashenkova, AV Maslennikova, NV Zakharova, ... Современные технологии в медицине 14 (5 (eng)), 54-75, 2022 | 8 | 2022 |
| MRI brain imagery processing software in data analysis. A Bernstein, R Akzhigitov, E Kondrateva, S Sushchinskaya, I Samotaeva, ... MDA, 61-74, 2018 | 7 | 2018 |
| 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 |
| Convolutional neural networks for automatic detection of Focal Cortical Dysplasia R Aliev, E Kondrateva, M Sharaev, O Bronov, A Marinets, S Subbotin, ... Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics …, 2021 | 5 | 2021 |
| Do we really need all these preprocessing steps in brain MRI segmentation? E Kondrateva, P Druzhinina, A Kurmukov Medical Imaging with Deep Learning, 2022 | 3 | 2022 |
| Interpretation of 3d cnns for brain mri data classification M Kan, R Aliev, A Rudenko, N Drobyshev, N Petrashen, E Kondrateva, ... Recent Trends in Analysis of Images, Social Networks and Texts: 9th …, 2021 | 3 | 2021 |
| Negligible effect of brain MRI data preprocessing for tumor segmentation E Kondrateva, P Druzhinina, A Dalechina, S Zolotova, A Golanov, ... Biomedical Signal Processing and Control 96, 106599, 2024 | 2 | 2024 |
| 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 |
| Neglectable effect of brain MRI data preprocessing for tumor segmentation. E Kondrateva, P Druzhinina, A Dalechina, B Shirokikh, M Belyaev, ... arXiv preprint arXiv:2204.05278, 2022 | 1 | 2022 |
| The effect of skull-stripping on transfer learning for 3D MRI models: ADNI data P Druzhinina, E Kondrateva Medical Imaging with Deep Learning, 2022 | 1 | 2022 |
| 3DCNN interpretation facilitates MRI-based disease classification D Petrova, E Kondrateva, M Sharaev Openreview. net.[Online]. Available: https://openreview. net/pdf, 2021 | 1 | 2021 |
| 50 shades of overfitting: towards MRI-based neurologicalmodels interpretation P Druzhinina, E Kondrateva, E Burnaev Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Interpretable deep learning for pattern recognition in brain differences between men and women M Kan, R Aliev, A Rudenko, N Drobyshev, N Petrashen, E Kondrateva, ... arXiv preprint arXiv:2006.15969, 2020 | 1 | 2020 |
Maxim SharaevSkoltech在 skoltech.ru 的电子邮件经过验证
