Automated classification of atherosclerotic plaque from magnetic resonance images using predictive models. - Russell W. Anderson; Christopher Stomberg; Charles W. Hahm; Venkatesh Mani 002; Daniel D. Samber; Vitalii V. Itskovich; Laura Valera-Guallar; John T. Fallon; Pavel B. Nedanov; Joel Huizenga; Zahi A. Fayad (Biosyst., 2007)

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)

Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison. - Marius Pullig; Benjamin Bergner; Amish Doshi; Anja Hennemuth; Zahi A. Fayad; Christoph Lippert (Bildverarbeitung für die Medizin, 2022)

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)