Zahi A. Fayad

According to our database, Zahi A. Fayad authored at least 6 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification.

Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

CoRR, 2024

MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation.

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

CoRR, 2024

2023

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.

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

CoRR, 2023

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 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, Justine Lee, Zahi A. Fayad, Brett Hayden, Valentin Fauveau, Mingqian Huang, XueYan Mei

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2007

Automated classification of atherosclerotic plaque from magnetic resonance images using predictive models.

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

Biosyst., 2007