Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study. - Zelong Liu; Louisa Deyer; Arnold Yang; Steven Liu; Jingqi Gong; Yang Yang 110; Mingqian Huang; Amish Doshi; Meng Lu; Denise Lee; Timothy Deyer; XueYan Mei (BIBE, 2022)

Automated measurements of leg length on radiographs by deep learning. - Zelong Liu; Arnold Yang; Steven Liu; Louisa Deyer; Timothy Deyer; Hao-Chih Lee; Yang Yang 110; Justine Lee; Zahi A. Fayad; Brett Hayden; Valentin Fauveau; Mingqian Huang; et al. (BIBE, 2022)

Performing Machine Learning Based Outlier Detection for Automotive Grade Products. - 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 003; Peng Chen; et al. (IRPS, 2023)

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. - Zelong Liu; Alexander Zhou 002; Arnold Yang; Alara Yilmaz; Maxwell Yoo; Mikey Sullivan; Catherine Zhang 003; James Grant; Daiqing Li; Zahi A. Fayad; Sean Huver; Timothy Deyer; et al. (CoRR, 2023)

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. - Zelong Liu; Peyton Smith; Alexander Lautin; Jieshen Zhou; Maxwell Yoo; Mikey Sullivan; Haorun Li; Louisa Deyer; Alexander Zhou 002; Arnold Yang; Alara Yilmaz; Catherine Zhang 003; et al. (AMAI@MICCAI, 2024)