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Conference and Workshop Papers
- 2023
[c3]Y. L. Yang, P. C. Tsao, C. W. Lin, Ross Lee, Olivia Ni, T. T. Chen, Y. J. Ting, C. T. Lai, Jason Yeh, Arnold Yang, Wayne Huang, Peng Chen, Charly Tsai, Ryan Yang, Y. S. Huang, B. C. Hsu, M. Z. Lee, T. H. Lee, Michael Huang, Coming Chen, Liham Chu, H. W. Kao, N. S. Tsai:
Performing Machine Learning Based Outlier Detection for Automotive Grade Products. IRPS 2023: 1-5- 2022
- [c2]Zelong Liu, Arnold Yang, Steven Liu, Louisa Deyer, Timothy Deyer, Hao-Chih Lee, Yang Yang, Justine Lee, Zahi A. Fayad, Brett Hayden, Valentin Fauveau, Mingqian Huang, XueYan Mei:
Automated measurements of leg length on radiographs by deep learning. BIBE 2022: 17-22 - [c1]Zelong Liu, Louisa Deyer, Arnold Yang, Steven Liu, Jingqi Gong, Yang Yang, Mingqian Huang, Amish Doshi, Meng Lu, Denise Lee, Timothy Deyer, XueYan Mei:
Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study. BIBE 2022: 23-28
Informal and Other Publications
- 2023
- [i1]Zelong Liu, Alexander Zhou
, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei:
RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. CoRR abs/2312.05953 (2023)
Coauthor Index
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