Segmentation of Vestibular Schwannoma from Multi-parametric Magnetic Resonance Images using Convolutional Neural Network. - Wei-Kai Lee; Chih-Chun Wu; Tzu-Hsuan Huang; Chun-Yi Lin; Cheng-Chia Lee; Wen-Yuh Chung; Po-Shan Wang; Chia-Feng Lu; Hsiu-Mei Wu; Wan-Yuo Guo; Yu-Te Wu (DMIP, 2019)

Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. - Wei-Kai Lee; Chih-Chun Wu; Cheng-Chia Lee; Chia-Feng Lu; Huai-Che Yang; Tzu-Hsuan Huang; Chun-Yi Lin; Wen-Yuh Chung; Po-Shan Wang; Hsiu-Mei Wu; Wan-Yuo Guo; Yu-Te Wu (Artif. Intell. Medicine, 2020)

Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network. - Jia-Sheng Hong; Ingo Hermann; Frank G. Zöllner; Lothar R. Schad; Shuu-Jiun Wang; Wei-Kai Lee; Yung-Lin Chen; Yu Chang; Yu-Te Wu (Sensors, 2022)

Lesion delineation framework for vestibular schwannoma, meningioma and brain metastasis for gamma knife radiosurgery using stereotactic magnetic resonance images. - Wei-Kai Lee; Huai-Che Yang; Cheng-Chia Lee; Chia-Feng Lu; Chih-Chun Wu; Wen-Yuh Chung; Hsiu-Mei Wu; Wan-Yuo Guo; Yu-Te Wu (Comput. Methods Programs Biomed., 2023)

Artificial intelligence technology for automatic segmentation of lymphatic areas in radiotherapy for pelvic tumors. - Chia-Yu Lai; Weir Chiang You; Kai-Lin Yang; Chi-Wen Jao; Yi-Hui Lin; Mau-Shin Chi; Wei-Kai Lee; Chia-Chi Wen; Chung-Hsien Hsu; Yu-Te Wu (ICS, 2024)

Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. - Ting-Wei Wang; Jia-Sheng Hong; Wei-Kai Lee; Yi-Hui Lin; Huai-Che Yang; Cheng-Chia Lee; Hung-Chieh Chen; Hsiu-Mei Wu; Weir Chiang You; Yu-Te Wu (Neuroinformatics, 2025)