INJ Search

CLOSE


Search

  • HOME
  • Search
Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer Model
Hyoung Sun Choi, Jae Seoung Kim, Taeg Keun Whangbo, Sung Jong Eun
Int Neurourol J. 2023;27(Suppl 2):S99-103.   Published online 2023 November 30
Full textPubreaderePubPDF
inj-2346292-146f1.gifinj-2346292-146f2.gif
Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications
Hyun Suh Kim, Eun Joung Kim, JungYoon Kim
Int Neurourol J. 2023;27(Suppl 2):S73-81.   Published online 2023 November 30
Full textPubreaderePubPDF
t1-inj-2346286-143.pngt2-inj-2346286-143.png
Designing Digital Therapeutic Content Using Chronic Disease Data: A Focus on Improving Urinary Dysfunction
Jungjo Na, Su Jin Kim, Yangmi Lim
Int Neurourol J. 2023;27(Suppl 2):S51-63.   Published online 2023 November 30
Full textPubreaderePubPDF
inj-2346290-145f1.gifinj-2346290-145f2.gifinj-2346290-145f3.gifinj-2346290-145f4.gifinj-2346290-145f5.gifinj-2346290-145f6.gifinj-2346290-145f7.gifinj-2346290-145f8.gifinj-2346290-145f9.gif
Transfer Learning for Effective Urolithiasis Detection
Hyoung-Sun Choi, Jae-Seoung Kim, Taeg-Keun Whangbo, Khae Hawn Kim
Int Neurourol J. 2023;27(Suppl 1):S21-26.   Published online 2023 May 31
Full textPubreaderePubPDF
inj-2346110-055f1.gifinj-2346110-055f2.gifinj-2346110-055f3.gifinj-2346110-055f4.gif
The Current State of Artificial Intelligence Application in Urology
Eui-Sun Kim, Sung-Jong Eun, Seunghyun Youn
Int Neurourol J. 2023;27(4):227-233.   Published online 2023 December 31
Full textPubreaderePubPDF
inj-2346336-168f1.gifinj-2346336-168f2.gifinj-2346336-168f3.gifinj-2346336-168f4.gifinj-2346336-168f5.gifinj-2346336-168f6.gifinj-2346336-168f7.gif
New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases
Jin Kyu Oh, Jun Young Lee, Sung-Jong Eun, Jong Mok Park
Int Neurourol J. 2022;26(4):268-274.   Published online 2022 December 30
Full textPubreaderePubPDF
inj-2244280-140f1.gifinj-2244280-140f2.gifinj-2244280-140f3.gifinj-2244280-140f4.gifinj-2244280-140f5.gifinj-2244280-140f6.gifinj-2244280-140f7.gifinj-2244280-140f8.gif
Clinical Investigation
Development of an Artificial Intelligence-Based Support Technology for Urethral and Ureteral Stricture Surgery
Sung-Jong Eun, Jong Mok Park, Khae-Hawn Kim
Int Neurourol J. 2022;26(1):78-84.   Published online 2022 March 31
Full textPubreaderePubPDF
inj-2244064-032f1.gifinj-2244064-032f2.gifinj-2244064-032f3.gifinj-2244064-032f4.gifinj-2244064-032f5.gifinj-2244064-032f6.gif
1 |

Journal Impact Factor 2.3
E-Submission
  • Regulation on Ethics
  • Best Practice
  • article_btn
  • Copyright transfer form / Conflict of Interest Statement / Author consent for use of PPT
  • Endnote Style File
  • Email Alert
  • Author's Index
  • E-Submission
Related society
Indexed By
Crossref Services
templates
SCImago Journal & Country Rank


ARTICLE & ORGAN
Article Category

Browse all articles >

Organ

Browse all articles >

ISSUES
DISEASES & TOPICS
Diseases

Browse all articles >

Topics

Browse all articles >

AUTHOR
INFORMATION

Official Journal of Korean Continence Society & ESSIC (International Society for the Study of BPS) & Korean Society of Urological Research & The Korean Children’s Continence and Enuresis Society & The Korean Association of Urogenital Tract Infection and Inflammation & Korean Society of Geriatric Urological Care
Editorial Office
Department of Urology, Kangbuk Samsung Medical Center, Sungkyunkwan University School of Medicine,
29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea
Tel: +82-2-2001-2237     Fax: +82-2-2001-2247    E-mail: choys1011@naver.com

Copyright © 2024 by Korean Continence Society.

Developed in M2PI

Close layer
prev next