Paul S. Babyn

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising

Sepehr Ataei, Javad Alirezaie, Paul S. Babyn, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A novel hybrid model for deformable image registration in abdominal procedures

Thomas Looi, Paul S. Babyn, Xishi Huang, 2011, Medical Imaging.

Feature-Space-Based fMRI Analysis Using the Optimal Linear Transformation

Paul S. Babyn, Margot J. Taylor, Wayne Lee, 2010, IEEE Transactions on Information Technology in Biomedicine.

Automatic brain tumor detection in Magnetic Resonance Images

George A. Lampropoulos, Paul S. Babyn, Junning Li, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

CASE 111 Port Placement

Paul S. Babyn, 2006 .

The optimal linear transformation-based fMRI feature space analysis

Paul S. Babyn, Fengrong Sun, Drew Morris, 2009, Medical & Biological Engineering & Computing.

Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss

Javad Alirezaie, Paul S. Babyn, Luella Marcos, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Value of postmortem thoracic CT over radiography in imaging of pediatric rib fractures

Paul S. Babyn, Rahim Moineddin, P. Babyn, 2011, Pediatric Radiology.

Congenital extrahepatic portosystemic shunts

Paul S. Babyn, Shi-Joon Yoo, P. Babyn, 2003, Pediatric Radiology.