This page shows the publications co-authored by Georges El Fakhri and Kuang Gong.
Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging. Eur J Nucl Med Mol Imaging. 2021 05; 48(5):1351-1361.
Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning. NMR Biomed. 2022 04; 35(4):e4224.
Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images. Phys Med Biol. 2018 06 13; 63(12):125011.
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans Med Imaging. 2019 03; 38(3):675-685.
MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition. Med Phys. 2020 Jul; 47(7):3064-3077.
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE Trans Med Imaging. 2018 06; 37(6):1478-1487.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.