Vladimir Kokh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Undecimated Wavelet Transform

Language Understanding

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Pavel Blinov, Vladimir Kokh
Medical Profile Model: Scientific and Practical Applications in Healthcare. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh
Whole-body PET image denoising for reduced acquisition time. CoRR (2023)
Dmitriy Umerenkov, Oleg Cherkashin, Alexander Nesterov, Victor Gombolevskiy, Irina Demko, Alexander Yalunin, Vladimir Kokh
Predicting COVID-19 and pneumonia complications from admission texts. CoRR (2023)
Petr Philonenko, Vladimir Kokh, Pavel Blinov
Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data. CoRR (2023)
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. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh
RuMedBench: A Russian Medical Language Understanding Benchmark. CoRR (2022)
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)
Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh
Abstractive summarization of hospitalisation histories with transformer networks. CoRR (2022)
Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh
RuMedBench: A Russian Medical Language Understanding Benchmark. AIME (2022)
Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME (2022)
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 (2022)
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)
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. ACM Trans. Manag. Inf. Syst. 12 (4) (2021)
Pavel Blinov, Vladimir Kokh
Patient Embeddings in Healthcare and Insurance Applications. CoRR (2021)
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 (2021)
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 (2021)
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. AIME (2020)
Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net. CoRR (2020)
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks. CoRR (2020)
Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov
Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. MICCAI (3) (2019)