ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge Y Ge, T Su, J Zhu, X Deng, Q Zhang, J Chen, Z Hu, H Zheng, D Liang Quantitative imaging in medicine and surgery 10 (2), 415, 2020 | 47 | 2020 |
DIRECT‐Net: A unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging T Su, X Sun, J Yang, D Mi, Y Zhang, H Wu, S Fang, Y Chen, H Zheng, ... Medical physics 49 (2), 917-934, 2022 | 30 | 2022 |
Quality assessment of DIBR-synthesized views: An overview S Tian, L Zhang, W Zou, X Li, T Su, L Morin, O Deforges Neurocomputing 423, 158-178, 2021 | 28 | 2021 |
Material decomposition in X-ray spectral CT using multiple constraints in image domain B Xie, T Su, V Kaftandjian, P Niu, F Yang, M Robini, Y Zhu, P Duvauchelle Journal of Nondestructive Evaluation 38, 1-9, 2019 | 20 | 2019 |
Feasibility study of three-material decomposition in dual-energy cone-beam CT imaging with deep learning J Zhu, T Su, X Zhang, J Yang, D Mi, Y Zhang, X Gao, H Zheng, D Liang, ... Physics in Medicine & Biology 67 (14), 145012, 2022 | 19 | 2022 |
DIR‐DBTnet: Deep iterative reconstruction network for three‐dimensional digital breast tomosynthesis imaging T Su, X Deng, J Yang, Z Wang, S Fang, H Zheng, D Liang, Y Ge Medical Physics 48 (5), 2289-2300, 2021 | 17 | 2021 |
Generalized deep iterative reconstruction for sparse-view CT imaging T Su, Z Cui, J Yang, Y Zhang, J Liu, J Zhu, X Gao, S Fang, H Zheng, Y Ge, ... Physics in Medicine & Biology 67 (2), 025005, 2022 | 16 | 2022 |
Enhancing the X-ray differential phase contrast image quality with deep learning technique Y Ge, P Liu, Y Ni, J Chen, J Yang, T Su, H Zhang, J Guo, H Zheng, Z Li, ... IEEE Transactions on Biomedical Engineering 68 (6), 1751-1758, 2020 | 15 | 2020 |
Model-based deep medical imaging: the roadmap of generalizing iterative reconstruction model using deep learning J Cheng, H Wang, Y Zhu, Q Liu, Q Zhang, T Su, J Chen, Y Ge, Z Hu, X Liu, ... arXiv preprint arXiv:1906.08143, 2019 | 11 | 2019 |
ROI-wise material decomposition in spectral photon-counting CT B Xie, P Niu, T Su, V Kaftandjian, L Boussel, P Douek, F Yang, ... IEEE Transactions on Nuclear Science 67 (6), 1066-1075, 2020 | 8 | 2020 |
A spectral X-ray CT simulation study for quantitative determination of iron T Su, V Kaftandjian, P Duvauchelle, Y Zhu Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2018 | 8 | 2018 |
Model-driven phase retrieval network for single-shot x-ray Talbot–Lau interferometer imaging P Liu, J Yang, J Chen, T Su, J Guo, H Zheng, D Liang, Y Ge Optics Letters 45 (22), 6314-6317, 2020 | 6 | 2020 |
Classification-based material decomposition method for photon counting-based spectral radiography: Application to plastic sorting T Su, V Kaftandjian, P Duvauchelle, Y Zhu Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2020 | 5 | 2020 |
Dual-energy CT reconstruction using deep mutual-domain knowledge for basis decomposition and denoising Y Zhang, T Su, J Zhu, Y Chen, H Zheng, D Liang, Y Ge Medical Imaging 2020: Physics of Medical Imaging 11312, 1075-1080, 2020 | 5 | 2020 |
Attention-based dual-branch deep network for sparse-view computed tomography image reconstruction X Gao, T Su, Y Zhang, J Zhu, Y Tan, H Cui, X Long, H Zheng, D Liang, ... Quantitative Imaging in Medicine and Surgery 13 (3), 1360, 2023 | 4 | 2023 |
Low-dose CT reconstruction with simultaneous sinogram and image domain denoising by deep neural network J Zhu, T Su, X Deng, X Sun, H Zheng, D Liang, Y Ge Medical Imaging 2020: Physics of Medical Imaging 11312, 1007-1012, 2020 | 4 | 2020 |
Quantitative material decomposition method for spectral CT imaging T Su, V Kaftandjian, P Duvauchelle, P Douek, Y Zhu 7th Conference on Industrial Computed Tomography, 2017 | 4 | 2017 |
Super resolution dual-energy cone-beam CT imaging with dual-layer flat-panel detector T Su, J Zhu, X Zhang, Y Tan, H Cui, D Zeng, J Guo, H Zheng, J Ma, ... IEEE Transactions on Medical Imaging, 2023 | 3 | 2023 |
Dual-domain attention-based deep network for sparse-view CT artifact reduction X Gao, T Su, J Zhu, J Yang, Y Zhang, D Mi, H Zheng, X Long, D Liang, ... arXiv preprint arXiv:2203.09169, 2022 | 3 | 2022 |
Automatic cerebral computed tomography venographic imaging based on the prior knowledge of cerebral blood circulation S Chen, T Su, Y Wang, Z Li, Y Li, Y Ge, D Mi Journal of Neuroradiology 50 (6), 556-561, 2023 | 2 | 2023 |