Kuang Gong
Kuang Gong
Assistant Professor of Biomedical Engineering, University of Florida
Verified email at - Homepage
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Iterative PET image reconstruction using convolutional neural network representation
K Gong, J Guan, K Kim, X Zhang, J Yang, Y Seo, G El Fakhri, J Qi, Q Li
IEEE transactions on medical imaging 38 (3), 675-685, 2018
PET image reconstruction using deep image prior
K Gong, C Catana, J Qi, Q Li
IEEE transactions on medical imaging 38 (7), 1655-1665, 2018
PET image denoising using unsupervised deep learning
J Cui, K Gong, N Guo, C Wu, X Meng, K Kim, K Zheng, Z Wu, L Fu, B Xu, ...
European journal of nuclear medicine and molecular imaging 46, 2780-2789, 2019
PET image denoising using a deep neural network through fine tuning
K Gong, J Guan, CC Liu, J Qi
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 153-161, 2018
Penalized PET reconstruction using deep learning prior and local linear fitting
K Kim, D Wu, K Gong, J Dutta, JH Kim, YD Son, HK Kim, G El Fakhri, Q Li
IEEE transactions on medical imaging 37 (6), 1478-1487, 2018
Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images
K Gong, J Yang, K Kim, G El Fakhri, Y Seo, Q Li
Physics in Medicine & Biology 63 (12), 125011, 2018
Machine learning in PET: from photon detection to quantitative image reconstruction
K Gong, E Berg, SR Cherry, J Qi
Proceedings of the IEEE 108 (1), 51-68, 2019
Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network
Z Guo, N Guo, K Gong, Q Li
Physics in Medicine & Biology 64 (20), 205015, 2019
On the assessment of spatial resolution of PET systems with iterative image reconstruction
K Gong, SR Cherry, J Qi
Physics in Medicine & Biology 61 (5), N193, 2016
Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity
K Gong, J Cheng-Liao, G Wang, KT Chen, C Catana, J Qi
IEEE Transactions on Medical Imaging 37 (4), 955 - 965, 2017
Designing a compact high performance brain PET scanner—simulation study
K Gong, S Majewski, PE Kinahan, RL Harrison, BF Elston, R Manjeshwar, ...
Physics in medicine and biology 61 (10), 3681, 2016
Consensus neural network for medical imaging denoising with only noisy training samples
D Wu, K Gong, K Kim, X Li, Q Li
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Generative adversarial network based regularized image reconstruction for PET
Z Xie, R Baikejiang, T Li, X Zhang, K Gong, M Zhang, W Qi, E Asma, J Qi
Physics in Medicine & Biology 65 (12), 125016, 2020
Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels
D Wu, K Gong, CD Arru, F Homayounieh, B Bizzo, V Buch, H Ren, K Kim, ...
IEEE Journal of Biomedical and Health Informatics 24 (12), 3529-3538, 2020
MAPEM-Net: an unrolled neural network for Fully 3D PET image reconstruction
K Gong, D Wu, K Kim, J Yang, T Sun, G El Fakhri, Y Seo, Q Li
15th International meeting on fully three-dimensional image reconstruction …, 2019
Direct reconstruction of linear parametric images from dynamic PET using nonlocal deep image prior
K Gong, C Catana, J Qi, Q Li
IEEE Transactions on Medical Imaging 41 (3), 680-689, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records
K Gong, D Wu, CD Arru, F Homayounieh, N Neumark, J Guan, V Buch, ...
European journal of radiology 139, 109583, 2021
Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning
K Gong, P Han, G El Fakhri, C Ma, Q Li
NMR in Biomedicine 35 (4), e4224, 2022
EMnet: an unrolled deep neural network for PET image reconstruction
K Gong, D Wu, K Kim, J Yang, G El Fakhri, Y Seo, Q Li
Medical Imaging 2019: Physics of Medical Imaging 10948, 1203-1208, 2019
MR-based attenuation correction for brain PET using 3-D cycle-consistent adversarial network
K Gong, J Yang, PEZ Larson, SC Behr, TA Hope, Y Seo, Q Li
IEEE transactions on radiation and plasma medical sciences 5 (2), 185-192, 2020
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