Zahi A. Fayad

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 5

Top Topics

Medical Imaging

Medical Image Segmentation

Restricted Boltzmann Machine

Top Venues

Bildverarbeitung für die Medizin

Publications

Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification. CoRR (2024)
Alexander Zhou, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Valentin Fauveau, George Soultanidis, Mingqian Huang, Amish Doshi, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation. CoRR (2024)
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 (2023)
Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi A. Fayad, Christoph Lippert
Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison. Bildverarbeitung für die Medizin (2022)
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)
Russell W. Anderson, Christopher Stomberg, Charles W. Hahm, Venkatesh Mani, Daniel D. Samber, Vitalii V. Itskovich, Laura Valera-Guallar, John T. Fallon, Pavel B. Nedanov, Joel Huizenga, Zahi A. Fayad
Automated classification of atherosclerotic plaque from magnetic resonance images using predictive models. Biosyst. 90 (2) (2007)