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2020 – today
- 2024
[c3]Zelong Liu, Andrew Tieu, Nikhil Patel, George Soultanidis, Louisa Deyer, Ying Wang, Sean Huver, Alexander Zhou, Yunhao Mei, Zahi A. Fayad, Timothy Deyer, Xueyan Mei:
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification. MLMI@MICCAI (2) 2024: 95-107- [i3]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 abs/2402.01031 (2024) - [i2]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 abs/2402.01034 (2024) - 2023
- [i1]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 abs/2312.05953 (2023) - 2022
- [c2]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: 17-22 - [c1]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: 204-209
2000 – 2009
- 2007
- [j1]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): 456-466 (2007)
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