| 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 |
(Rus)
(Eng)
(简体中)
|
| Vol 2, No 1 (2021) |
Original Study Articles |
Diagnostic accuracy of computed tomography for identifying hospitalizations for patients with COVID-19 |
(Rus)
(Eng)
(简体中)
|
| Vol 1, No 1 (2020) |
Datasets |
MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic |
(Rus)
(Eng)
(简体中)
|
| Vol 1, No 1 (2020) |
Correspondence |
Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow |
(Rus)
(Eng)
(简体中)
|
| 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? |
(Rus)
(Eng)
(简体中)
|
| Vol 2, No 2 (2021) |
Original Study Articles |
Inter-observer variability between readers of CT images: all for one and one for all |
(Rus)
(简体中)
(Eng)
|
| Vol 3, No 4 (2022) |
Original Study Articles |
Possibilities and limitations of using machine text-processing tools in Russian radiology reports |
(Rus)
(Eng)
(简体中)
|
| 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 |
(Rus)
(Eng)
(简体中)
|
| 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 |
(Rus)
(Eng)
(简体中)
|
| 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 |
(Rus)
(Eng)
(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) |
(Rus)
|
| Vol 5, No 4 (2024) |
Original Study Articles |
Detecting new lung cancer cases using artificial intelligence: clinical and economic evaluation of a retrospective analysis of computed tomography scans 2 years after the COVID-19 pandemic |
(Rus)
|
| Vol 5, No 4 (2024) |
Technical Reports |
Assessing the probability of metastatic mediastinal lymph node involvement in patients with non-small cell lung cancer using convolutional neural networks on chest computed tomography |
(Rus)
|
