Shaojie Chang

To develop a super-resolution convolutional neural network to generate high-resolution temporal bone images beyond the resolution limitation of a commercial photon-counting-detector (PCD) CT.

To enhance spatial resolution in all three dimensions (x, y, z) of coronary CT angiography (cCTA) acquired with conventional energy-integrating detector (EID)-based CT systems, using a protocol-aware multi-slice deep learning model trained with resolution-mat...

Lung tumors are poorly visible on conventional on-board 2D X-ray imaging due to limited soft-tissue contrast and overlapping anatomy, posing a challenge for patient setup on proton therapy systems equipped with 2D X-ray imaging. Our goal is to develop a novel...