| 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 | 217 | 2018 |
| 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 | 168 | 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 | 165 | 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 | 159 | 2019 |
| 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 | 157 | 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 | 105 | 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 | 80 | 2019 |
| 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 | 79 | 2017 |
| 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 | 74 | 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 | 73 | 2016 |
| 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 | 72 | 2016 |
| Consensus neural network for medical imaging denoising with only noisy training samples D Wu, K Gong, K Kim, X Li, Q Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 40 | 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 | 29 | 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 | 27 | 2020 |
| 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 | 24 | 2021 |
| 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 | 22 | 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 | 22 | 2019 |
| Sinogram blurring matrix estimation from point sources measurements with rank-one approximation for fully 3-D PET K Gong, J Zhou, M Tohme, M Judenhofer, Y Yang, J Qi IEEE transactions on medical imaging 36 (10), 2179-2188, 2017 | 21 | 2017 |
| 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 | 20 | 2019 |
| 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 | 17 | 2022 |
Jinyi QiUniversity of California - DavisVerified email at ucdavis.edu
