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- Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy
- Xinyu Cao, Yin Fang, Chunguang Yang, Zhenghao Liu, Guoping Xu, Yan Jiang, Peiyan Wu, Wenbo Song, Hanshuo Xing, Xinglong Wu
- Int Neurourol J. 2024;28(1):33-43. Published online 2024 March 31
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- 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
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- 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
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- 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
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- Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence
- Min Soo Choo, Ho Young Ryu, Sangchul Lee
- Int Neurourol J. 2022;26(1):69-77. Published online 2022 March 31
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- Data-Driven Machine-Learning Quantifies Differences in the Voiding Initiation Network in Neurogenic Voiding Dysfunction in Women With Multiple Sclerosis
- Christof Karmonik, Timothy Boone, Rose Khavari
- Int Neurourol J. 2019;23(3):195-204. Published online 2019 September 30
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