| AirNet: Fused Analytical and Iterative Reconstruction with Deep Neural Network Regularization for Sparse‐Data CT G Chen, X Hong, Q Ding, Y Zhang, H Chen, S Fu, Y Zhao, X Zhang, H Ji, ... Medical Physics, 2020 | 41 | 2020 |
| Image‐domain multimaterial decomposition for dual‐energy CT based on prior information of material images Q Ding, T Niu, X Zhang, Y Long Medical physics 45 (8), 3614-3626, 2018 | 31 | 2018 |
| Low-dose CT with deep learning regularization via proximal forward–backward splitting Q Ding, G Chen, X Zhang, Q Huang, H Ji, H Gao Physics in Medicine & Biology 65 (12), 125009, 2020 | 29 | 2020 |
| Modeling mixed Poisson-Gaussian noise in statistical image reconstruction for X-ray CT Q Ding, Y Long, X Zhang, JA Fessler Proc. 4th Intl. Mtg. on Image Formation in X-ray CT, pp. 399-402, 2016 | 25 | 2016 |
| Statistical image reconstruction using mixed Poisson-Gaussian noise model for X-ray CT Q Ding, Y Long, X Zhang, JA Fessler arXiv preprint arXiv:1801.09533, 2018 | 24 | 2018 |
| Deep Learning with Adaptive Hyper-parameters for Low-Dose CT Image Reconstruction Q Ding, Y Nan, H Gao, H Ji IEEE Transactions on Computational Imaging, 2021 | 17 | 2021 |
| Dynamic SPECT reconstruction from few projections: a sparsity enforced matrix factorization approach Q Ding, Y Zan, Q Huang, X Zhang Inverse Problems 31 (2), 025004, 2015 | 8 | 2015 |
| Dynamic SPECT reconstruction with temporal edge correlation Q Ding, M Burger, X Zhang Inverse Problems 34 (1), 014005, 2017 | 7 | 2017 |
| Learnable multi-scale Fourier interpolation for sparse view CT image reconstruction Q Ding, H Ji, H Gao, X Zhang 24th International Conference on Medical Image Computing & Computer Assisted …, 2021 | 6 | 2021 |
| Image-domain multi-material decomposition for dual-energy CT based on correlation and sparsity of material images Q Ding, T Niu, X Zhang, Y Long arXiv preprint arXiv:1710.07028, 2017 | 3 | 2017 |
| AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection Y Zhao, Q Ding, X Zhang International Conference on Learning Representations, 2023 | 2 | 2023 |
| Nomogram based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma X Bin, C Zhu, Y Tang, R Li, Q Ding, et. al. Clinical Oncology, 2022 | 2 | 2022 |
| A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction Q Ding, H Ji, Y Quan, X Zhang Inverse Problems, 2022 | 2 | 2022 |
| Image-domain multi-material decomposition for dual-energy CT via total nuclear norm and l0 norm Q Ding, T Niu, X Zhang, Y Long FULLY3D 2017 CONFERENCE PROCEEDINGS, 2017 | 2 | 2017 |
| MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation Q Ding, X Zhang 25th International Conference on Medical Image Computing & Computer Assisted …, 2022 | 1 | 2022 |
| Automatic Recognition of White Blood Cell Images with Memory Efficient Superpixel Metric GNN: SMGNN Y Jiang, Y Shen, YG Wang, Q Ding Preprints, 2023 | | 2023 |
| The prognostic value of splenic abnormalities in pretreatment 18F-FDG PET/CT in patients with complete response diffuse large B-cell lymphoma S Wang, H Ju, Y Bai, L Wang, Q Ding, P Li, X Jiang, X Lin Clinical Radiology 78 (5), 375-380, 2023 | | 2023 |
| A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging W Ding, Q Ding, K Chen, M Zhang, L Lv, DD Feng, L Bi, J Kim, Q Huang IEEE Transactions on Medical Imaging, 2023 | | 2023 |
Xiaoqun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
