no code implementations • Findings (ACL) 2022 • Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey Nikolenko
We present RuCCoN, a new dataset for clinical concept normalization in Russian manually annotated by medical professionals.
1 code implementation • LREC 2022 • Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexander Nesterov, Manvel Avetisian, Andrei Chertok, Sergey Nikolenko
Medical data annotation requires highly qualified expertise.
no code implementations • 26 Sep 2023 • Petr Philonenko, Vladimir Kokh, Pavel Blinov
We test the Survival Ensemble in some studies.
no code implementations • 5 May 2023 • Dmitriy Umerenkov, Oleg Cherkashin, Alexander Nesterov, Victor Gombolevskiy, Irina Demko, Alexander Yalunin, Vladimir Kokh
In this paper we present a novel approach to risk assessment for patients hospitalized with pneumonia or COVID-19 based on their admission reports.
no code implementations • 28 Mar 2023 • Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh
This paper evaluates the performance of supervised and unsupervised deep learning models for denoising positron emission tomography (PET) images in the presence of reduced acquisition times.
1 code implementation • 2 Jun 2022 • Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
The symptom checking systems inquire users for their symptoms and perform a rapid and affordable medical assessment of their condition.
no code implementations • 5 Apr 2022 • Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh
In this paper we present a novel approach to abstractive summarization of patient hospitalisation histories.
2 code implementations • 17 Jan 2022 • Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh
The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel text sets.
no code implementations • 12 Jul 2021 • Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions.
2 code implementations • 21 Jun 2021 • Pavel Blinov, Vladimir Kokh
The paper researches the problem of representation learning for electronic health records.
no code implementations • 25 May 2021 • Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov
Analysis of chest CT scans can be used in detecting parts of lungs that are affected by infectious diseases such as COVID-19. Determining the volume of lungs affected by lesions is essential for formulating treatment recommendations and prioritizingpatients by severity of the disease.
no code implementations • 15 Jul 2020 • Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
We show the importance of this problem in medical community and present comprehensive historical review of the problem and proposed methods.
no code implementations • 31 Mar 2020 • Manvel Avetisian, Vladimir Kokh, Alex Tuzhilin, Dmitry Umerenkov
Segmentation of ischemic stroke and intracranial hemorrhage on computed tomography is essential for investigation and treatment of stroke.