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Towards Computationally Feasible Deep Active Learning


May 07, 2022
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov

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* Accepted at NAACL-2022 Findings 

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Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough


Jul 12, 2021
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov

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CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning


May 25, 2021
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

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Noise-Resilient Automatic Interpretation of Holter ECG Recordings


Nov 17, 2020
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin

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* Accepted for publication on BIOSIGNALS 2021 

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Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks


Jul 15, 2020
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin

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* To be published in the proceedings of 2020 International Conference on Artificial Intelligence in Medicine, Minneapolis MN, USA 

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Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net


Mar 31, 2020
Manvel Avetisian, Vladimir Kokh, Alex Tuzhilin, Dmitry Umerenkov

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