A computer-aided method for automatic localization and thickness measurement of peritoneum in ultrasound images. - Yu-Shan Lin; Tsung-Chun Lee; Hsuan T. Chang; Syu-Jyun Peng; Jenq-Wen Huang; Hsiu-Po Wang; Chung-Wen Hung (EMBC, 2011)

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)

Using deep learning to differentiate among histology renal tumor types in computed tomography scans. - Hung-Cheng Kan; Po-Hung Lin; I-Hung Shao; Shih-Chun Cheng; Tzuo-Yau Fan; Ying-Hsu Chang; Liang-Kang Huang; Yuan-Cheng Chu; Kai-Jie Yu; Cheng-Keng Chuang; Chun-Te Wu; See-Tong Pang; et al. (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)