1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2023
Self-Supervised and Supervised Deep Learning for PET Image Reconstruction
Andrew J. Reader
A unified self-supervised and supervised deep learning framework for PET image reconstruction is presented, including deep-learned filtered backprojection (DL-FBP) for sinograms, d…
physics.med-ph2019★ 1 cited
Motion-corrected and high-resolution anatomically-assisted (MOCHA) reconstruction of arterial spin labelling MRI
Abolfazl Mehranian, Colm J. McGinnity, Radhouene Neji +4
A model-based reconstruction framework is proposed for MOtion-Corrected and High-resolution anatomically-Assisted (MOCHA) reconstruction of ASL data. In this framework, all low-res…