Author Details

Gombolevskiy, Victor A.

Issue Section Title File
Vol 1, No 1 (2020) Original Study Articles Chest computed tomography for outcome prediction in laboratory-confirmed COVID-19: A retrospective analysis of 38,051 cases PDF
(Rus)
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(Eng)
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Vol 2, No 1 (2021) Original Study Articles Diagnostic accuracy of computed tomography for identifying hospitalizations for patients with COVID-19 PDF
(Rus)
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Vol 1, No 1 (2020) Datasets MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic PDF
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Vol 1, No 1 (2020) Correspondence Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow PDF
(Rus)
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(Eng)
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Vol 2, No 1 (2021) Original Study Articles How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan? PDF
(Rus)
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(Eng)
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Vol 2, No 2 (2021) Original Study Articles Inter-observer variability between readers of CT images: all for one and one for all PDF
(Rus)
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(Eng)
Vol 3, No 4 (2022) Original Study Articles Possibilities and limitations of using machine text-processing tools in Russian radiology reports PDF
(Rus)
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(Eng)
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Vol 3, No 2 (2022) Original Study Articles Impact of body mass index on the reliability of the CT0–4 grading system: a comparison of computed tomography protocols PDF
(Rus)
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(Eng)
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Vol 4, No 1 (2023) Original Study Articles Volumetry versus linear diameter lung nodule measurement: an ultra-low-dose computed tomography lung cancer screening study PDF
(Rus)
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Vol 4, No 2 (2023) Original Study Articles Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography PDF
(Rus)
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(简体中)
Vol 4, No 3 (2023) Corrigendum Erratum in “Volumetry versus linear diameter lung nodule measurement: an ultra-low-dose computed tomography lung cancer screening study” (doi: 10.17816/DD117481) PDF
(Rus)

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