| Project Achoo: a practical model and application for COVID-19 detection from recordings of breath, voice, and cough A Ponomarchuk, I Burenko, E Malkin, I Nazarov, V Kokh, M Avetisian, ... IEEE Journal of Selected Topics in Signal Processing 16 (2), 175-187, 2022 | 40 | 2022 |
| Predicting clinical diagnosis from patients electronic health records using BERT-based neural networks P Blinov, M Avetisian, V Kokh, D Umerenkov, A Tuzhilin Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 26 | 2020 |
| Uncertainty estimation of transformer predictions for misclassification detection A Vazhentsev, G Kuzmin, A Shelmanov, A Tsvigun, E Tsymbalov, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 25 | 2022 |
| Radiologist-level stroke classification on non-contrast CT scans with deep U-Net M Avetisian, V Kokh, A Tuzhilin, D Umerenkov International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 21* | 2019 |
| Towards computationally feasible deep active learning A Tsvigun, A Shelmanov, G Kuzmin, L Sanochkin, D Larionov, G Gusev, ... arXiv preprint arXiv:2205.03598, 2022 | 10 | 2022 |
| Medical crossing: a cross-lingual evaluation of clinical entity linking A Alekseev, Z Miftahutdinov, E Tutubalina, A Shelmanov, V Ivanov, ... Proceedings of the thirteenth language resources and evaluation conference …, 2022 | 9 | 2022 |
| CoRSAI: A system for robust interpretation of CT scans of COVID-19 patients using deep learning M Avetisian, I Burenko, K Egorov, V Kokh, A Nesterov, A Nikolaev, ... ACM Transactions on Management Information Systems (TMIS) 12 (4), 1-16, 2021 | 7 | 2021 |
| RuCCoN: clinical concept normalization in Russian A Nesterov, G Zubkova, Z Miftahutdinov, V Kokh, E Tutubalina, ... Findings of the Association for Computational Linguistics: ACL 2022, 239-245, 2022 | 4 | 2022 |
| Transformer models for drug adverse effects detection from tweets P Blinov, M Avetisian Proceedings of the Fifth Social Media Mining for Health Applications …, 2020 | 4 | 2020 |
| Volumetric Medical Image Segmentation with Deep Convolutional Neural Networks. M Avetisian DAMDID/RCDL, 5-9, 2017 | 4 | 2017 |
| Ðàçðàáîòêà àëãîðèòìà ïîèñêà êëèíè÷åñêè îäíîðîäíûõ ïàöèåíòîâ ïî ñëàáîñòðóêòóðèðîâàííûì òåêñòîâûì äàííûì ýëåêòðîííîé ìåäèöèíñêîé êàðòû îíêîëîãè÷åñêîãî ïðîôèëÿ ÌÑ Àâåòèñÿí, ÊÑ Åãîðîâ, ÂÍ Êîõ, ÀÀ Êîøêàðîâ, ÐÀ Ìóðàøêî, ... Âðà÷ è èíôîðìàöèîííûå òåõíîëîãèè, 32-40, 2019 | 3 | 2019 |
| Cell type–specific interpretation of noncoding variants using deep learning–based methods M Sindeeva, N Chekanov, M Avetisian, TI Shashkova, N Baranov, ... GigaScience 12, giad015, 2023 | 1 | 2023 |
| Noise-resilient Automatic Interpretation of Holter ECG Recordings E Konstantin, S Elena, A Manvel, T Alexander Proceedings of the BIOSIGNALS, 2021 | 1 | 2021 |
| FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction A Telepov, A Tsypin, K Khrabrov, S Yakukhnov, P Strashnov, P Zhilyaev, ... arXiv preprint arXiv:2401.09840, 2024 | | 2024 |
| Gradual Optimization Learning for Conformational Energy Minimization A Tsypin, L Ugadiarov, K Khrabrov, M Avetisian, A Telepov, E Rumiantsev, ... arXiv preprint arXiv:2311.06295, 2023 | | 2023 |
| ÑÐÀÂÍÈÒÅËÜÍÎÅ ÈÑÑËÅÄÎÂÀÍÈÅ ÑÈÑÒÅÌÛ ÁÅÑÊÎÍÒÐÀÑÒÍÎÉ ÊÒÄÈÀÃÍÎÑÒÈÊÈ ÎÑÒÐÎÃÎ ÈØÅÌÈ×ÅÑÊÎÃÎ ÈÍÑÓËÜÒÀ ÍÀ ÁÀÇÅ ÍÅÉÐÎÍÍÛÕ ÑÅÒÅÉ ÃËÓÁÎÊÎÃÎ ÎÁÓ×ÅÍÈß RUSSIAN ELECTRONIC JOURNAL OF RADIOLOGY, 2020 | | 2020 |
