SUBJECT: | M.S. Thesis Presentation |
BY: | Zachary Diamond |
TIME: | Wednesday, April 29, 2020, 9:30 a.m. |
PLACE: | Bluejeans: https://bluejeans.com/8720637095, |
TITLE: | Robustness of AirNET to Training Library for Sparse-View CT |
COMMITTEE: | Dr. Hao Gao, Chair (Emory) Dr. C. K. Chris Wang (NRE/MP) Dr. Tianye Niu (NRE/MP) |
SUMMARY
The advances of artificial intelligence and deep learning applied to medical physics are giving rise to numerous applications, ranging from improvements in clinical workflow to the usage of computer-aided diagnosis in preliminary patient screenings. One such advance comes in the form of reconstructing sparsely sampled medical images, whereby a sufficiently trained convolutional neural network would be able to recreate an image. |