| 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 |
| 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 |
| 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 |
| RheumaVIT: transformer-based model for Automated Scoring of Hand Joints in Rheumatoid Arthritis A Stolpovsky, E Dakhova, P Druzhinina, P Postnikova, D Kudinsky, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| 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 |
| 50 shades of overfitting: towards MRI-based neurologicalmodels interpretation P Druzhinina, E Kondrateva, E Burnaev Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Identification of Diagnostic Schizophrenia Biomarkers Based on the Assessment of Immune and Systemic Inflammation Parameters Using Machine Learning Modeling IK Malashenkova, SA Krynskiy, DP Ogurtsov, NA Khailov, PV Druzhinina, ... Современные технологии в медицине 15 (6 (eng)), 5-12, 2023 | | 2023 |
