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Precision low-dose brachytherapy of prostate cancer under PSMA-receptor molecular visualization
Sviridov P., Rumiantsev P., Degtyarev M., Serzhenko S., Sanin D., Styrov S., Agibalov D., Korenev S.
Low-dose computed tomography in COVID-19: systematic review
Blokhin I., Rumyantsev D., Suchilova M., Gonchar A., Omelyanskaya O.
Bone mineral density radiopaque templates for cone beam computed tomography and multidetector computed tomography
Hossain S., Petraikin A., Muraev A., Danaev A., Burenchev D., Dolgalev A., Vasilev Y., Sharova D., Ivanov S.
Substantiation of a new approach to the criteria for assessing the radiation dose of patients during computed tomography
Matkevich E., Sinitsyn V., Ivanov I.
Impact of body mass index on the reliability of the CT0–4 grading system: a comparison of computed tomography protocols
Blokhin I., Gonchar A., Kodenko M., Solovev A., Gombolevskiy V., Reshetnikov R.
Virtual platform for computer simulation of radionuclide imaging in nuclear cardiology: Comparison with clinical data
Denisova N., Gurko M., Kolinko I., Ansheles A., Sergienko V.
Encapsulated necrotic pancreatitis
Kitavina S., Petrovichev V., Ermakov A., Ermakov N., Nikitin I.
Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography
Chernina V., Belyaev M., Silin A., Avetisov I., Pyatnitskiy I., Petrash E., Basova M., Sinitsyn V., Omelyanovskiy V., Gombolevskiy V.
The role of dual-energy computed tomography in the diagnosis of gout and other crystalline arthropathies: A review
Onoyko M., Mershina E., Georginova O., Plotnikova M., Panyukova A., Sinitsyn V.
Volumetry versus linear diameter lung nodule measurement: an ultra-low-dose computed tomography lung cancer screening study
Suchilova M., Blokhin I., Aleshina O., Gombolevskiy V., Reshetnikov R., Bosin V., Omelyanskaya O., Vladzymyrskyy A.
Evaluation of fetal absorbed doses from computed tomography examinations of pregnant patients: A systematic review
Vodovatov A., Golchenko O., Mashchenko I., Alekseeva D., Chipiga L., Khutornoy I., Kozlova P., Trufanov G., Druzhinina P., Ryzhov S., Soldatov I.
Computer tomography of uro-lymphatic fistulas associated with renal colic
Gelezhe P., Goryacheva K.
“Superior Pectus Carinatum” (Currarino–Silverman Syndrome) in a 66-year-old woman: a case report
Mannatrizio D., Fascia G., Guglielmi G.
Coronavirus disease-2019: Changes in computed tomography radiation burden across Moscow medical facilities
Druzhinina U., Ryzhov S., Vodovatov A., Soldatov I., Lantukh Z., Mukhortova A., Lubencova Y.
Abernethy malformation: A case report
Panyukova A., Sinitsyn V., Mershina E., Rucheva N.
Tissue sampling and histopathological limitations in esophageal cancer
Akhmedzyanova D., Yutsevich O., Reshetnikov R., Tashchyаn O., Pirogov S., Mazurova M., Volchenko N., Kamalov A., Shumskaya Y., Mnatsakanyan M.
Frequency of various cardiac complications in children with repaired tetralogy of Fallot identified by computer tomography
Kabdullina A., Sinitsyn V., Rakhimzhanova R., Dautov T., Saduakassova A., Kaliyev B., Bastarbekova L., Moldakhanova Z.
Computed tomography in the diagnosis of fever of unknown origin: A case report
Shumskaya Y., Kostikova N., Akhmedzyanova D., Suleymanova M., Fominykh E., Mnatsakanyan M., Reshetnikov R.
Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space
Vasilev Y., Vladzymyrskyy A., Arzamasov K., Shikhmuradov D., Pankratov A., Ulyanov I., Nechaev N.
Perforated Meckel’s diverticulum in a young male patient: a case report
Tupputi U., Carpagnano F., Carpentiere R., Guglielmi G.
Radiation methods in the diagnosis of primary and recurrent malignant ovarian struma: A case report
Nudnov N., Ivashina S., Aksenova S.
Unilateral isolated fracture of the pterygoid plate: a case report
Balzano R., Testini V., Cammarota A., Guglielmi G.
“Rice bodies” symptoms on magnetic resonance imaging of the shoulder in a patient with rheumatoid arthritis
Ageeva S., Filatova D., Mershina E., Sinitsyn V.
Classification of optical coherence tomography images using deep machine-learning methods
Arzamastsev A., Fabrikantov O., Kulagina E., Zenkova N.
Erratum in “Volumetry versus linear diameter lung nodule measurement: an ultra-low-dose computed tomography lung cancer screening study” (doi: 10.17816/DD117481)
Suchilova M., Blokhin I., Aleshina O., Gombolevskiy V., Reshetnikov R., Bosin V., Omelyanskaya O.
Postmortem radiology studies in global and national healthcare: literature analysis and perspectives of Russian specialists
Shchegolev A., Tumanova U.
Exploring the possibilities of an artificial intelligence program in the diagnosis of macular diseases
Khabazova M., Ponomareva E., Loskutov I., Katalevskaya E., Sizov A., Gabaraev G.
Cardiac myxoma originating from mitral valve leaflet
Vishniakova M., Abramenko A., Vishniakova M., Shumakov D.
Emerging techniques in atherosclerosis imaging
Syed M., Fletcher A., Forsythe R., Kaczynski J., Newby D., Dweck M., R. van Beek E.
Computed tomography in the diagnosis of oncopathology in end-stage renal disease: A case report
Tanirkhanova E., Zhussupbekova L., Turebekov D., Zhakeyeva B., Baimukanova T., Zhantugan A.
Preoperative computed tomography in the planning of median resternotomy in children
Korochkina E., Khasanova K., Abramyan M., Bedin A.
Organizing follow-up care for patients with macular retinal pathologies using artificial intelligence systems
Chuprov A., Bolodurina I., Lositskiy A., Zhigalov A.
Improving aortic aneurysm detection with artificial intelligence based on chest computed tomography data
Solovev A., Vasilev Y., Sinitsyn V., Petraikin A., Vladzymyrskyy A., Shulkin I., Sharova D., Semenov D.
Artificial intelligence in the diagnosis of thoracic aortic aneurysms in a retrospective chest computed tomography scan analysis
Solovev A., Sinitsyn V., Petraikin A., Vladzymyrskyy A., Reshetnikov R.
Dual-energy computed tomography for head and neck cancer
Petrovichev V., Neklyudova M., Sinitsyn V., Nikitin I.
Changing of pulmonary artery diameter in accordance with severity of COVID-19 (assessment based on non-contrast computer tomography)
Aliev A., Kudryavtsev N., Petraikin A., Artyukova Z., Shkoda A., Morozov S.
Diagnosis of solitary eosinophilic granuloma by CT, MRI, and 18F-FDG PET/CT: two clinical cases
Gelezhe P., Bulanov D.
Evaluation of geometric deviations in rapid prototyped three-dimensional models created from computed tomography data
Shirshin A., Zheleznyak I., Malakhovsky V., Kushnarev S., Gorina N.
Inter-observer variability between readers of CT images: all for one and one for all
Kulberg N., Reshetnikov R., Novik V., Elizarov A., Gusev M., Gombolevskiy V., Vladzymyrskyy A., Morozov S.
How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan?
Morozov S., Chernina V., Andreychenko A., Vladzymyrskyy A., Mokienko O., Gombolevskiy V.
The frequency and character of community-acquired pneumonia comparison before and during the COVID-19 epidemic in the multi-specialty hospital
Yaremenko S., Rucheva N., Zhuravlev K., Sinitsyn V.
Long-term broncocele anamnesis, triggered by typical carcinoid
Prusakova K., Gavrilov P.
Diagnostic accuracy of computed tomography for identifying hospitalizations for patients with COVID-19
Morozov S., Reshetnikov R., Gombolevskiy V., Ledikhova N., Blokhin I., Mokienko O.
Chest computed tomography for outcome prediction in laboratory-confirmed COVID-19: A retrospective analysis of 38,051 cases
Morozov S., Chernina V., Blokhin A., Gombolevskiy V.
Opportunities to reduce the radiation exposure during computed tomography to assess the changes in the lungs in patients with COVID-19: use of adaptive statistical iterative reconstruction
Filatova D., Sinitsin V., Mershina E.
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