Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net. - Manvel Avetisian; Vladimir Kokh; Alexander Tuzhilin; Dmitry Umerenkov (MICCAI (3), 2019)

Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. - Pavel Blinov; Manvel Avetisian; Vladimir Kokh; Dmitry Umerenkov; Alexander Tuzhilin (AIME, 2020)

Patient Embeddings in Healthcare and Insurance Applications. - Pavel Blinov; Vladimir Kokh (CoRR, 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)

RuCCoN: Clinical Concept Normalization in Russian. - Alexandr Nesterov; Galina Zubkova; Zulfat Miftahutdinov; Vladimir Kokh; Elena Tutubalina; Artem Shelmanov; Anton Alekseev 001; Manvel Avetisian; Andrey Chertok; Sergey I. Nikolenko (ACL (Findings), 2022)

RuMedBench: A Russian Medical Language Understanding Benchmark. - Pavel Blinov; Arina Reshetnikova; Aleksandr Nesterov; Galina Zubkova; Vladimir Kokh (AIME, 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 (AIME, 2022)

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. - Anton Alekseev 001; Zulfat Miftahutdinov; Elena Tutubalina; Artem Shelmanov; Vladimir Ivanov 001; Vladimir Kokh; Alexandr Nesterov; Manvel Avetisian; Andrey Chertok; Sergey I. Nikolenko (LREC, 2022)

Abstractive summarization of hospitalisation histories with transformer networks. - Alexander Yalunin; Dmitriy Umerenkov; Vladimir Kokh (CoRR, 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)

Whole-body PET image denoising for reduced acquisition time. - Ivan Kruzhilov; Stepan Kudin; Luka Vetoshkin; Elena Sokolova; Vladimir Kokh (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)

Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data. - Petr Philonenko; Vladimir Kokh; Pavel Blinov (CoRR, 2023)

Medical Profile Model: Scientific and Practical Applications in Healthcare. - Pavel Blinov; Vladimir Kokh (IEEE J. Biomed. Health Informatics, 2024)