An Adaptive Hybrid Spread Spectrum System Design and Anti-jamming Capability Analysis. - XueYan Mei; Long Yu (HPCC/EUC, 2013)

Thyroid Nodule Benignty Prediction by Deep Feature Extraction. - XueYan Mei; Xiaomeng Dong; Timothy Deyer; Jingyi Zeng; Theodore B. Trafalis; Yan Fang (BIBE, 2017)

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)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 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)

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification. - Zelong Liu; Andrew Tieu; Nikhil Patel; George Soultanidis; Louisa Deyer; Ying Wang; Sean Huver; Alexander Zhou 002; Yunhao Mei; Zahi A. Fayad; Timothy Deyer; Xueyan Mei (MLMI@MICCAI (2), 2024)

MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation. - Alexander Zhou 002; Zelong Liu; Andrew Tieu; Nikhil Patel; Sean Sun; Anthony Yang; Peter Choi; Valentin Fauveau; George Soultanidis; Mingqian Huang; Amish Doshi; Zahi A. Fayad; et al. (CoRR, 2024)

VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification. - Zelong Liu; Andrew Tieu; Nikhil Patel; Alexander Zhou 002; George Soultanidis; Zahi A. Fayad; Timothy Deyer; Xueyan Mei (CoRR, 2024)