|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Wednesday, April 29, 2020, 9:30 a.m.|
|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)
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.