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Vladimir Kokh
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2020 – today
- 2024
- [j3]Pavel Blinov
, Vladimir Kokh
Medical Profile Model: Scientific and Practical Applications in Healthcare. IEEE J. Biomed. Health Informatics 28(1): 450-458 (2024) - 2023
- [i11]Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh:
Whole-body PET image denoising for reduced acquisition time. CoRR abs/2303.16085 (2023) - [i10]Dmitriy Umerenkov, Oleg Cherkashin, Alexander S. Nesterov, Victor Gombolevskiy, Irina Demko, Alexander Yalunin, Vladimir Kokh:
Predicting COVID-19 and pneumonia complications from admission texts. CoRR abs/2305.03661 (2023) - [i9]Petr Philonenko
Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data. CoRR abs/2309.15039 (2023) - 2022
- [j2]Alexander Ponomarchuk
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. IEEE J. Sel. Top. Signal Process. 16(2): 175-187 (2022) - [c6]Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko:
RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) 2022: 239-245 - [c5]Aleksandr Nesterov
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME 2022: 76-87 - [c4]Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh:
RuMedBench: A Russian Medical Language Understanding Benchmark. AIME 2022: 383-392 - [c3]Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko:
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. LREC 2022: 4212-4220 - [i8]Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh:
RuMedBench: A Russian Medical Language Understanding Benchmark. CoRR abs/2201.06499 (2022) - [i7]Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh:
Abstractive summarization of hospitalisation histories with transformer networks. CoRR abs/2204.02208 (2022) - [i6]Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh:
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. CoRR abs/2206.00906 (2022) - 2021
- [j1]Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. ACM Trans. Manag. Inf. Syst. 12(4): 28:1-28:16 (2021) - [i5]Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alexander Tuzhilin, Dmitry Umerenkov:
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. CoRR abs/2105.11863 (2021) - [i4]Pavel Blinov, Vladimir Kokh:
Patient Embeddings in Healthcare and Insurance Applications. CoRR abs/2107.03913 (2021) - [i3]Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov:
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough. CoRR abs/2107.10716 (2021) - 2020
- [c2]Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. AIME 2020: 111-121 - [i2]Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov:
Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net. CoRR abs/2003.14287 (2020) - [i1]Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin:
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks. CoRR abs/2007.07562 (2020)
2010 – 2019
- 2019
- [c1]Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. MICCAI (3) 2019: 820-828
Coauthor Index
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