Fayez H. Fayad

According to our database, Fayez H. Fayad authored at least 3 papers between 2023 and 2024.

Collaborative distances:

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

2024

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison X. Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, June, 2024

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.

Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay

CoRR, 2024

2023

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison X. Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023