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Prediction of renal transplantation outcome using artificial neural networks and investigating important risk factors
Zanghaei A., Rostami Z., Ameri A., Salesi M., Akhlaghi A., Shalbaf A., Doosti H.
Texture analysis of 3D models for the prediction of the grade of clear cell renal cell carcinoma of the kidney (pilot study)
Konyshev A.V., Glybochko P.V., Butnaru D.V., Alyaev Y.G., Syrota E.S., Chernenky M.M., Chernenky I.M., Fiev D.N., Proskura A.V., Adzhiev A.R., Amrakhov S.A., Izmailova A.A., Sarkisyan I.P., Alekseeva M.Y., Gridin V.N., Bochkarev P.V., Kuznetsov I.A.
Interpretation of the prognosis of early results of nephron-sparing surgery with consideration of surgical learning curve using clinical decision support systems
Syrota E.S., Kuznetsov I.A., Glybochko P.V., Butnaru D.V., Alyaev Y.G., Fiev D.N., Proskura A.V., Adzhiev A.R., Zholdubaev A.A.
Use of intelligent analysis in urology
Harbedia E.K., Rapoport L.M., Gridin V.N., Tsarichenko D.G., Kuznetsov I.A., Sirota E.S., Alyaev Y.G.
Simulation-based robot-assisted surgical training
Kolontarev K.B., Govorov A.V., Rasner P.I., Sheptunov S.A., Prilepskaya E.A., Maltsev E.G., Pushkar D.Y.
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