1 citations · 1 across the 3 of their papers we have counts for
3 papers
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Huy Pham, Konstantin Egorov, Alexey Kazakov +1
Cardiovascular disease remains a significant problem in modern society. Among non-invasive techniques, the electrocardiogram (ECG) is one of the most reliable methods for detecting…
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…
Noise-Resilient Automatic Interpretation of Holter ECG Recordings
Konstantin Egorov, Elena Sokolova, Manvel Avetisian +1
Holter monitoring, a long-term ECG recording (24-hours and more), contains a large amount of valuable diagnostic information about the patient. Its interpretation becomes a difficu…