Machine Learning Application With Quantitative Digital Subtraction Angiography for Detection of Hemorrhagic Brain Arteriovenous Malformations. - Jia-Sheng Hong; Chung-Jung Lin; Yue-Hsin Lin; Cheng-Chia Lee; Huai-Che Yang; Ling-Hsuan Meng; Te-Ming Lin; Yong-Sin Hu; Wan-Yuo Guo; Wei-Fa Chu; Yu-Te Wu (IEEE Access, 2020)

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)

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)

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)

Auto-segmentation of cerebral cavernous malformations using a convolutional neural network. - Chi-Jen Chou; Huai-Che Yang; Cheng-Chia Lee; Zhi-Huan Jiang; Ching-Jen Chen; Hsiu-Mei Wu; Chun-Fu Lin; I-Chun Lai; Syu-Jyun Peng (BMC Medical Imaging, 2025)

Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery. - Hsing-Hao Ho; Huai-Che Yang; Wen-Xiang Yang; Cheng-Chia Lee; Hsiu-Mei Wu; I-Chun Lai; Ching-Jen Chen; Syu-Jyun Peng (BMC Medical Imaging, 2025)

Deep learning for automated segmentation of brain edema in meningioma after radiosurgery. - Huai-Che Yang; Tzu-Chiang Peng; Zhi-Hong Chen; Cheng-Chia Lee; Hsiu-Mei Wu; I-Chun Lai; Ching-Jen Chen; Syu-Jyun Peng (BMC Medical Imaging, 2025)