| 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 |
| Deep reconstruction model for dynamic PET images J Cui, X Liu, Y Wang, H Liu PloS one 12 (9), e0184667, 2017 | 42 | 2017 |
| CT-guided PET parametric image reconstruction using deep neural network without prior training data J Cui, K Gong, N Guo, K Kim, H Liu, Q Li Medical Imaging 2019: Physics of Medical Imaging 10948, 238-243, 2019 | 16 | 2019 |
| Populational and individual information based PET image denoising using conditional unsupervised learning J Cui, K Gong, N Guo, C Wu, K Kim, H Liu, Q Li Physics in Medicine & Biology 66 (15), 155001, 2021 | 11 | 2021 |
| The evolution of image reconstruction in PET: From filtered back-projection to artificial intelligence K Gong, K Kim, J Cui, D Wu, Q Li PET clinics 16 (4), 533-542, 2021 | 10 | 2021 |
| Clinically translatable direct Patlak reconstruction from dynamic PET with motion correction using convolutional neural network N Xie, K Gong, N Guo, Z Qin, J Cui, Z Wu, H Liu, Q Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
| Simultaneous estimation and segmentation from projection data in dynamic PET J Cui, H Yu, S Chen, Y Chen, H Liu Medical physics 46 (3), 1245-1259, 2019 | 7 | 2019 |
| Learning personalized representation for inverse problems in medical imaging using deep neural network K Gong, K Kim, J Cui, N Guo, C Catana, J Qi, Q Li arXiv preprint arXiv:1807.01759, 2018 | 6 | 2018 |
| Ct-guided pet image denoising using deep neural network without prior training data J Cui, K Gong, N Guo, X Meng, K Kim, H Liu, Q Li 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 5 | 2018 |
| Population and individual information guided PET image denoising using deep neural network J Cui, K Gong, N Guo, C Wu, K Kim, H Liu, Q Li 15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019 | 4 | 2019 |
| Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network J Cui, K Gong, P Han, H Liu, Q Li Medical Physics 49 (4), 2373-2385, 2022 | 3 | 2022 |
| Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network J Cui, K Gong, P Han, H Liu, Q Li Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 3 | 2020 |
| Structure and tracer kinetics-driven dynamic PET reconstruction J Cui, Z Qin, S Chen, Y Chen, H Liu IEEE Transactions on Radiation and Plasma Medical Sciences 4 (4), 400-409, 2019 | 3 | 2019 |
| Novel radiomic features based on graph theory for PET image analysis Z Zhou, N Guo, J Cui, X Meng, Y Hu, H Bao, X Li, Q Li 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 2 | 2019 |
| PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss J Cui, Y Xie, AA Joshi, K Gong, K Kim, YD Son, JH Kim, R Leahy, H Liu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 1 | 2022 |
| Unsupervised PET logan parametric image estimation using conditional deep image prior J Cui, K Gong, N Guo, K Kim, H Liu, Q Li Medical Image Analysis 80, 102519, 2022 | 1 | 2022 |
| Pet denoising and uncertainty estimation based on NVAE model J Cui, Y Xie, K Gong, K Kim, J Yang, P Larson, T Hope, S Behr, Y Seo, ... 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 1 | 2021 |
| STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction R Hu, J Cui, C Yu, Y Chen, H Liu arXiv preprint arXiv:2303.04667, 2023 | | 2023 |
| LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method C Li, R Hu, J Cui, H Liu arXiv preprint arXiv:2302.10481, 2023 | | 2023 |
| A Noise-Level-Aware Framework for PET Image Denoising Y Li, J Cui, J Chen, G Zeng, S Wollenweber, F Jansen, SI Jang, K Kim, ... Machine Learning for Medical Image Reconstruction: 5th International …, 2022 | | 2022 |
