| 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 | 50 | 2020 |
| 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 | 34 | 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 | 33 | 2018 |
| 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 | 29 | 2018 |
| 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 | 27 | 2016 |
| 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 | 21 | 2021 |
| AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection Y Zhao, Q Ding, X Zhang International Conference on Learning Representations, 2023 | 13 | 2023 |
| 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 | 8 | 2021 |
| Dynamic SPECT reconstruction with temporal edge correlation Q Ding, M Burger, X Zhang Inverse Problems 34 (1), 014005, 2017 | 8 | 2017 |
| 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 |
| 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 | 5 | 2022 |
| 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 | 5 | 2022 |
| A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction Q Ding, H Ji, Y Quan, X Zhang Inverse Problems, 2022 | 4 | 2022 |
| 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 |
| 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 |
| Vision graph u-net: Geometric learning enhanced encoder for medical image segmentation and restoration Y Jiang, Q Ding, YG Wang, P Liò, X Zhang Inverse Problems and Imaging, 0-0, 2023 | 1 | 2023 |
| SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data D Hu, Y Zhang, W Li, W Zhang, K Reddy, Q Ding, X Zhang, Y Chen, ... IEEE Transactions on Instrumentation and Measurement, 2023 | 1 | 2023 |
| PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection Z Xiong, Q Ding, Y Zhao, X Zhang MICCAI Workshop, 2023 | 1 | 2023 |
| Institute of Natural Sciences and School of Mathematical Sciences and MOE-LSC and Shanghai National Center for Applied Mathematics (SJTU Center), Shanghai Jiao Tong University … Z Xiong, Q Ding, Y Zhao, X Zhang Computational Mathematics Modeling in Cancer Analysis: Second International …, 2023 | | 2023 |
| 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 |
Xiaoqun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
