22 citations · 25 across the 3 of their papers we have counts for
4 papers
Abstractive summarization of hospitalisation histories with transformer networks
Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh
In this paper we present a novel approach to abstractive summarization of patient hospitalisation histories. We applied an encoder-decoder framework with Longformer neural network…
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Manvel Avetisian, Ilya Burenko, Konstantin Egorov +7
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…
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
Pavel Blinov, Manvel Avetisian, Vladimir Kokh +2
In this paper we study the problem of predicting clinical diagnoses from textual Electronic Health Records (EHR) data. We show the importance of this problem in medical community a…
Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net
Manvel Avetisian, Vladimir Kokh, Alex Tuzhilin +1
Segmentation of ischemic stroke and intracranial hemorrhage on computed tomography is essential for investigation and treatment of stroke. In this paper, we modified the U-Net CNN…