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Urologiia
ISSN 1728-2985 (Print) ISSN 2414-9020 (Online)
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关键字 BPH COVID-19 benign prostatic hyperplasia children chronic cystitis chronic prostatitis complications erectile dysfunction laparoscopy lower urinary tract symptoms male infertility overactive bladder phytotherapy prostate cancer prostatic adenoma radical prostatectomy renal cell carcinoma treatment urethral stricture urinary incontinence urolithiasis
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关键字 BPH COVID-19 benign prostatic hyperplasia children chronic cystitis chronic prostatitis complications erectile dysfunction laparoscopy lower urinary tract symptoms male infertility overactive bladder phytotherapy prostate cancer prostatic adenoma radical prostatectomy renal cell carcinoma treatment urethral stricture urinary incontinence urolithiasis
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作者的详细信息

Glybochko, P. V.

期 栏目 标题 文件
编号 1 (2015) Articles RISK FACTORS FOR ANTERIOR URETHRAL STRICTURES AFTER TRANSURETHRAL RESECTION OF BENIGN PROSTATIC HYPERPLASIA
编号 5 (2015) Articles Russian Urology in the XXI Century
编号 3 (2016) Articles THE POTENTIAL OF ENDOVIDEOSURGICAL TECHNOLOGIES FOR SIMULTANEOUS IPSILATERAL PRESENTATION OF A KIDNEY TUMOR AND KIDNEY STONE
编号 3 (2023) Original Articles Features of the mineral composition of urinary stones depending on the region of residence, gender and age in the Russian Federation, Belarus and Kazakhstan
编号 4 (2023) Oncourology Texture analysis of 3D models for the prediction of the grade of clear cell renal cell carcinoma of the kidney (pilot study)
编号 2 (2024) Original Articles Interpretation of the prognosis of early results of nephron-sparing surgery with consideration of surgical learning curve using clinical decision support systems
编号 4 (2024) Original Articles Mini PCNL versus RIRS for renal stones: a prospective randomised controlled study
编号 5 (2024) Original Articles Automated system for supporting medical decision-making in the treatment of patients with renal parenchyma neoplasms – first experience of using the web-platform «Sechenov.AI_nephro» – results of multicenter testing
编号 6 (2024) Original Articles Development of a deep learning-based system for supporting medical decision-making in PI-RADs score determination
 


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