This project seeks to employ deep learning to perform semantic segmentation of CT scans to identify and measure thoracic aortic aneurysms.
2. Measure the size of aortic aneurysms taking into account the location of the aneurysm (ascending versus descending aorta).
3. Develop algorithms to assess patient risk based on size of aortic aneurysms.
CURRENT PROJECT MEMBERS:
Ronald Yang (undergraduate Biomedical Engineering student, since Jan 2021)
Felix Hakimi
Carter Profico
Nico Kaegi
Aayush Kapri
Domninick Profico
Dr. Shao Tang (Machine Learning Engineer, Twitter, since December 2020)
Dr. Yupeng Li (Department of Economics, since December 2020)
Dr. Hieu Nguyen (since December 2020)
PAST PROJECT MEMBERS:
Sean Pandolfo
Michael Provenzano
Sam Lufi
Chau Tran
Mohammed (Sarosh) Khan (undergraduate CS and Math student, since December 2020)
Lucas Lavalva (undergraduate CS and Math student, Dec 2020 - Feb 2021)
CONTACT INFORMATION:
Please email Hieu Nguyen (Rowan University) at nguyen@rowan.edu
if you would like to learn more about this project.