3 papers
eess.IV2023
Whole-body PET image denoising for reduced acquisition time
Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin +2
This paper evaluates the performance of supervised and unsupervised deep learning models for denoising positron emission tomography (PET) images in the presence of reduced acquisit…
eess.IV2021
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…
eess.SP2020
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…