Vladimir Kokh

According to our database, Vladimir Kokh authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR.

Petr Philonenko, Vladimir Kokh, Pavel Blinov

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

InkSight: Towards AI-Aided Historical Manuscript Analysis.

Andrey Sakhovskiy, Ivan Ulitin, Emilia Bojarskaja, Vladimir Kokh, Ruslan Murtazin, Maxim Novopoltsev, Semen A. Budennyy

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

HAMSA: Hijacking Aligned Compact Models via Stealthy Automation.

Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, Maryam Douiba, Azidine Guezzaz, Vladimir Kokh, Sergey D. Erokhin, Elena Tutubalina, Oleg Y. Rogov

CoRR, August, 2025

AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems.

Dmitriy Umerenkov, Alexandr Nesterov, Vladimir Shaposhnikov, Ruslan Abramov, Nikolay Romanenko, Vladimir Kokh, Marina Kirina, Anton Abrosimov, Dmitry V. Dylov, Ivan V. Oseledets

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Medical Profile Model: Scientific and Practical Applications in Healthcare.

Pavel Blinov, Vladimir Kokh

IEEE J. Biomed. Health Informatics, January, 2024

2023

Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data.

Petr Philonenko, Vladimir Kokh, Pavel Blinov

CoRR, 2023

Predicting COVID-19 and pneumonia complications from admission texts.

Dmitriy Umerenkov, Oleg Cherkashin, Alexander S. Nesterov, Victor Gombolevskiy, Irina Demko, Alexander Yalunin, Vladimir Kokh

CoRR, 2023

Whole-body PET image denoising for reduced acquisition time.

Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh

CoRR, 2023

2022

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

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

IEEE J. Sel. Top. Signal Process., 2022

Abstractive summarization of hospitalisation histories with transformer networks.

Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh

CoRR, 2022

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking.

Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization.

Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh

Proceedings of the Artificial Intelligence in Medicine, 2022

RuMedBench: A Russian Medical Language Understanding Benchmark.

Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh

Proceedings of the Artificial Intelligence in Medicine, 2022

RuCCoN: Clinical Concept Normalization in Russian.

Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

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

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

ACM Trans. Manag. Inf. Syst., 2021

Patient Embeddings in Healthcare and Insurance Applications.

Pavel Blinov, Vladimir Kokh

CoRR, 2021

2020

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

Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net.

Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019