Cheng-Chia Lee

13 papers B 1C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Auto-segmentation of cerebral cavernous malformations using a convolutional neural network.
BMC Medical Imaging
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
2025 J jnl
Deep learning for automated segmentation of brain edema in meningioma after radiosurgery.
BMC Medical Imaging
Huai-Che Yang, Tzu-Chiang Peng, Zhi-Hong Chen, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng
2025 J jnl
Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery.
BMC Medical Imaging
Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng
2025 J jnl
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis.
Neuroinformatics
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
2023 J jnl
Lesion delineation framework for vestibular schwannoma, meningioma and brain metastasis for gamma knife radiosurgery using stereotactic magnetic resonance images.
Comput. Methods Programs Biomed.
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
2021 J jnl
Distributed source modeling of intracranial stereoelectro-encephalographic measurements.
NeuroImage
Fa-Hsuan Lin, Hsin-Ju Lee, Jyrki Ahveninen, Iiro P. Jääskeläinen, Hsiang-Yu Yu, Cheng-Chia Lee, Chien-Chen Chou, Wen-Jui Kuo
2021 — conf
Radiomics-based Prediction of Re-hemorrhage in Cerebral Cavernous Malformation after Gamma Knife Radiosurgery.
EMBC
Pei-Hsuan Kuo, Cheng-Chia Lee, Chia-Feng Lu
2020 J jnl
Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning.
Artif. Intell. Medicine
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
2020 J jnl
Machine Learning Application With Quantitative Digital Subtraction Angiography for Detection of Hemorrhagic Brain Arteriovenous Malformations.
IEEE Access
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
2019 — conf
Segmentation of Vestibular Schwannoma from Multi-parametric Magnetic Resonance Images using Convolutional Neural Network.
DMIP
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
2016 C conf
Automatic Brain Extraction for T1-Weighted Magnetic Resonance Images Using Region Growing.
BIBE
Yu-Lung Ho, Wei-Yang Lin, Chia-Ling Tsai, Cheng-Chia Lee, Chih-Yang Lin
2007 J jnl
Signal-to-Interference-Plus-Noise Ratio Analysis for Direct-Sequence Ultra-Wideband Systems in Generalized Saleh-Valenzuela Channels.
J. Sel. Topics Signal Processing
Wei-De Wu, Cheng-Chia Lee, Chung-Hsuan Wang, Chi-Chao Chao
2007 B conf
Signal-to-Interference-Plus-Noise Ratio Analysis for Direct-Sequence Ultra-Wideband Systems.
WCNC
Cheng-Chia Lee, Wei-De Wu, Chi-Chao Chao