The impact of the accuracy of interest region marking on the reproducibility of radiomics parameters in CT SCA

For quoting:
Kondrat'ev E.V., Shmeleva S.A., Ustalov A.A., Zamyatina K.A., Gruzdev I.S., Karteev B.M., Tarnopol'skij V.M., Karmazanovskij G.G. "The impact of the accuracy of interest region marking on the reproducibility of radiomics parameters in CT SCA ". Journal Diagnostic & interventional radiology. 2025; 19(2); 55-60.

Possibilities of radiomics and texture analysis in computed tomography and magnetic resonance imaging at dentistry (Literature review)

For quoting:
Khomutova E.Yu., Uralbaev A.A., Khomutov A.D. "Possibilities of radiomics and texture analysis in computed tomography and magnetic resonance imaging at dentistry (Literature review) ". Journal Diagnostic & interventional radiology. 2025; 19(2); 22-29.

Evaluation of the diagnostic accuracy of a random model for predicting poorly differentiated intrahepatic cholangiocarcinoma

For quoting:
Smirnova A.D., Karmazanovsky G.G., Efanov M.G., Kondratyev E.V., Britskaya N.N. "Evaluation of the diagnostic accuracy of a random model for predicting poorly differentiated intrahepatic cholangiocarcinoma ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 122-128.

Texture analysis of mammographic images using deep learning methods for predicting the presence of BRCA mutations in breast cancer patients

For quoting:
Petrova N.V., Suleymanova M.M., Ustalov A.A., Parts S.A., Kuzmina E.S., Galkin V.N., Shmeleva S.A., Tarnopolsky V.M., Semenova A.B., Byakhova M.M., Kondratiev E.V., Karmazanovsky G.G. "Texture analysis of mammographic images using deep learning methods for predicting the presence of BRCA mutations in breast cancer patients ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 110-121.

Radiomics in sarcopenia assessment using CT images

For quoting:
Schmidt I.A., Kotina E.D., Kamyshanskaya I.G., Makarenko B.G. "Radiomics in sarcopenia assessment using CT images ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 94-99.

Texture analysis in predicting the morphological nature of localized neoplasms of renal parenchyma

For quoting:
Konyshev A.V., Glybochko P.V., Butnaru D.V., Alyaev Yu.G., Sirota E.S., Chernenkiy M.M., Chernenkiy I.M., Fiev D.N., Proskura A.V., Adjiev A.R., Amrakhov S.A., Izmaylova A.A., Sarkisiayn I.P., Gridin V.N., Bochkarev P.V., Kuznetsov I.A. "Texture analysis in predicting the morphological nature of localized neoplasms of renal parenchyma ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 71-78.

Diagnosis of lung cancer and radiomics, current state of the problem (Literature review)

For quoting:
Meldo A.A., Trofimova T.N., Kuznetsov E.M., Ponomarev N.A., Kuchin I.A. "Diagnosis of lung cancer and radiomics, current state of the problem (Literature review) ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 35-39.

Ultrasound-based radiomics: current state, challenges and future possiblities (Literature review)

For quoting:
Stepanova Yu.A., Babajanova K.A. "Ultrasound-based radiomics: current state, challenges and future possiblities (Literature review) ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 16-21.