Fractal dimension analysis for quantifying cerebellar morphological change of multiple system atrophy of the cerebellar type (MSA-C). - Yu-Te Wu; Kuo-Kai Shyu; Chii-Wen Jao; Zun-Yun Wang; Bing-Wen Soong; Hsiu-Mei Wu; Po-Shan Wang (NeuroImage, 2010)

Quantifying cerebellar atrophy in multiple system atrophy of the cerebellar type (MSA-C) using three-dimensional gyrification index analysis. - Yu-Te Wu; Kuo-Kai Shyu; Chii-Wen Jao; Yuan-Lin Liao; Tzu-Yun Wang; Hsiu-Mei Wu; Po-Shan Wang; Bing-Wen Soong (NeuroImage, 2012)

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)

Using a Hybrid Simulation Model to Maximize Patient Throughput of Magnetic Resonance Imaging in a Medical Center. - Li-Hui Lee; Yang-Yu Ou; Yu-Ting Cheng 005; Ying-Chou Sun; Hsiu-Mei Wu; Wanyou Guo (SIMULTECH, 2019)

Intra- and Inter-Modular Connectivity Alterations in the Brain Structural Network of Spinocerebellar Ataxia Type 3. - Chi-Wen Jao; Bing-Wen Soong; Tzu-Yun Wang; Hsiu-Mei Wu; Chia-Feng Lu; Po-Shan Wang; Yu-Te Wu (Entropy, 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)

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)