Automatic Kidney Volume Estimation System Using Transfer Learning Techniques. - Chiu-Han Hsiao; Ming-Chi Tsai; Frank Yeong-Sung Lin; Ping-Cherng Lin; Feng-Jung Yang; Shao-Yu Yang 003; Sung-Yi Wang; Pin-Ruei Liu; Yennun Huang (AINA (2), 2021)

A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images. - Chiu-Han Hsiao; Ping-Cherng Lin; Li-An Chung; Frank Yeong-Sung Lin; Feng-Jung Yang; Shao-Yu Yang 003; Chih-Horng Wu; Yennun Huang; Tzu-Lung Sun (Comput. Methods Programs Biomed., 2022)

A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images. - Chiu-Han Hsiao; Tzu-Lung Sun; Ping-Cherng Lin; Tsung-Yu Peng; Yu-Hsin Chen; Chieh-Yun Cheng; Feng-Jung Yang; Shao-Yu Yang 003; Chih-Horng Wu; Frank Yeong-Sung Lin; Yennun Huang (Comput. Methods Programs Biomed., 2022)

Antecedents and consequences of shared decision making for patients with chronic kidney diseases: A cross-sectional survey. - Kuang-Ming Kuo; I-Chiu Chang; Chih-Ming Chen; Feng-Jung Yang (Int. J. Medical Informatics, 2022)

Leveraging Real-World Data to Predict Macrovascular Complications in Type 2 Diabetes: A Comparative Machine Learning Study. - Jia-Min Wu; Feng-Jung Yang; Ting-Yu Pan; Bor-Wen Cheng (IEA/AIE (2), 2025)