Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. - Bowen Li; Ke Yan 006; Dar-In Tai; Yuankai Huo; Le Lu 001; Jing Xiao 006; Adam P. Harrison (MICCAI (3), 2020)

Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis. - Jheng-Ru Chen; Yi-Ping Chao; Yu-Wei Tsai; Hsien-Jung Chan; Yung-Liang Wan; Dar-In Tai; Po-Hsiang Tsui (Entropy, 2020)

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Bowen Li; Xinping Ren; Ke Yan 006; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Dar-In Tai; Adam P. Harrison (MICCAI (5), 2021)

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Bowen Li; Xinping Ren; Ke Yan 006; Le Lu 001; Guotong Xie; Jing Xiao 006; Dar-In Tai; Adam P. Harrison (CoRR, 2021)

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning. - Bowen Li; Dar-In Tai; Ke Yan 006; Yi-Cheng Chen; Shiu-Feng Huang; Tse-Hwa Hsu; Wan-Ting Yu; Jing Xiao 006; Le Lu 001; Adam P. Harrison (CoRR, 2021)

Convolutional Neural Network Classification of Liver Fibrosis Stages Using Ultrasonic Images Colorized by Features of Echo-Envelope Statistics. - Akiho Isshiki; Dar-In Tai; Po-Hsiang Tsui; Kenji Yoshida; Tadashi Yamaguchi; Shinnosuke Hirata (MICAD, 2022)

Ultrasound normalized cumulative residual entropy imaging: Theory, methodology, and application. - Ruiyang Gao; Po-Hsiang Tsui; Sinan Li; Guangyu Bin; Dar-In Tai; Shuicai Wu; Zhuhuang Zhou (Comput. Methods Programs Biomed., 2024)

Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study. - Haiming Ai; Yong Huang; Dar-In Tai; Po-Hsiang Tsui; Zhuhuang Zhou (Sensors, 2024)