Dar-In Tai

According to our database, Dar-In Tai authored at least 5 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning.

Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison

CoRR, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.

Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison

CoRR, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.

Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.

Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020