Victor А. Gombolevskiy

MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic

2020 · 107 Zit. · Digital Diagnostics

CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification

2021 · 8 Zit. · Medical Image Analysis

How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan?

2021 · 7 Zit. · Digital Diagnostics

A methodology for selection and quality control of the radiological computer vision deployment at the megalopolis scale

2022 · 6 Zit.

Possibilities and limitations of using machine text-processing tools in Russian radiology reports

2022 · 5 Zit. · Digital Diagnostics

Clinical aspects of using artificial intelligence for the interpretation of chest X-rays

2021 · 5 Zit. · Tuberculosis and lung diseases

ARTIFICIAL INTELLIGENCE: NATURAL LANGUAGE PROCESSING FOR PEER-REVIEW IN RADIOLOGY

2018 · 4 Zit. · Journal of radiology and nuclear medicine

Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography

2023 · 3 Zit. · Digital Diagnostics

A comprehensive evaluation methodology for the publicly accessible AI services for medical diagnostics

2021 · 2 Zit.

CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint\n Identification and Severity Quantification

2020 · 0 Zit. · arXiv (Cornell University)

Diagnostic Accuracy of a Multi-Target Artificial Intelligence Service for the Simultaneous Assessment of 16 Pathological Features on Chest and Abdominal CT

2025 · 0 Zit. · Diagnostics

Diagnostic Accuracy of a Multi-Target Artificial Intelligence Service for the Simultaneous Assessment of 16 Pathological Features on Chest and Abdominal CT

2025 · 0 Zit. · Preprints.org