| Deep learning reconstruction shows better lung nodule detection for ultra–low-dose chest CT B Jiang, N Li, X Shi, S Zhang, J Li, GH de Bock, R Vliegenthart, X Xie Radiology 303 (1), 202-212, 2022 | 95 | 2022 |
| Bouncing and 3D printable hybrids with self-healing properties F Tallia, L Russo, S Li, ALH Orrin, X Shi, S Chen, JAM Steele, S Meille, ... Materials Horizons 5 (5), 849-860, 2018 | 62 | 2018 |
| Silk fibroin-bioactive glass based advanced biomaterials: towards patient-specific bone grafts S Midha, S Kumar, A Sharma, K Kaur, X Shi, P Naruphontjirakul, ... Biomedical Materials 13 (5), 055012, 2018 | 46 | 2018 |
| 3D printed silica-gelatin hybrid scaffolds of specific channel sizes promote collagen Type II, Sox9 and Aggrecan production from chondrocytes M Nelson, S Li, SJ Page, X Shi, PD Lee, MM Stevens, JV Hanna, ... Materials Science and Engineering: C 123, 111964, 2021 | 30 | 2021 |
| Bioactive glass scaffold architectures regulate patterning of bone regeneration in vivo X Shi, A Nommeots-Nomm, NM Todd, A Devlin-Mullin, H Geng, PD Lee, ... Applied Materials Today 20, 100770, 2020 | 30 | 2020 |
| A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography M Wang, J Fan, X Shi, L Qin, F Yan, W Yang European Journal of Radiology 146, 110070, 2022 | 25 | 2022 |
| Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction … J Zhong, Y Xia, Y Chen, J Li, W Lu, X Shi, J Feng, F Yan, W Yao, H Zhang European Radiology 33 (2), 812-824, 2023 | 21 | 2023 |
| Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT Y Chen, J Zhong, L Wang, X Shi, W Lu, J Li, J Feng, Y Xia, R Chang, ... European Radiology 32 (8), 5480-5490, 2022 | 18 | 2022 |
| Multivendor comparison of quantification accuracy of iodine concentration and attenuation measurements by dual-energy CT: a phantom study Y Chen, J Zhong, L Wang, X Shi, R Chang, J Fan, J Jiang, Y Xia, F Yan, ... American Journal of Roentgenology 219 (5), 827-839, 2022 | 13 | 2022 |
| Evaluation of image quality and detectability of deep learning image reconstruction (DLIR) algorithm in single-and dual-energy CT J Zhong, H Shen, Y Chen, Y Xia, X Shi, W Lu, J Li, Y Xing, Y Hu, X Ge, ... Journal of Digital Imaging 36 (4), 1390-1407, 2023 | 9 | 2023 |
| Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number … J Zhong, Z Pan, Y Chen, L Wang, Y Xia, L Wang, J Li, W Lu, X Shi, J Feng, ... Insights into Imaging 14 (1), 79, 2023 | 9 | 2023 |
| Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers J Zhong, L Wang, H Shen, J Li, W Lu, X Shi, Y Xing, Y Hu, X Ge, D Ding, ... European Radiology 33 (8), 5331-5343, 2023 | 8 | 2023 |
| Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing … J Zhong, Z Wu, L Wang, Y Chen, Y Xia, L Wang, J Li, W Lu, X Shi, J Feng, ... Journal of Imaging Informatics in Medicine 37 (1), 123-133, 2024 | 5 | 2024 |
| Image quality of coronary CT angiography at ultra low tube voltage reconstructed with a deep-learning image reconstruction algorithm in patients of different weight L Zhu, R Ha, H Machida, X Shi, F Wang, K Chen, D Chen, Y Cao, Y Shen, ... Quantitative Imaging in Medicine and Surgery 13 (6), 3891, 2023 | 3 | 2023 |
| Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study … J Zhong, L Wang, C Yan, Y Xing, Y Hu, D Ding, X Ge, J Li, W Lu, X Shi, ... BMC Medical Imaging 24 (1), 159, 2024 | 1 | 2024 |
| The impact of deep learning image reconstruction of spectral CTU virtual non contrast images for patients with renal stones H Zhu, D Kong, J Qian, X Shi, J Fan European Journal of Radiology Open 13, 100599, 2024 | | 2024 |
| Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity J Zhong, Y Hu, Y Xing, L Wang, J Li, W Lu, X Shi, D Ding, X Ge, H Zhang, ... Acta Radiologica, 02841851241262765, 2024 | | 2024 |
| Investigation of optimal combination of monochromatic image of dual-energy CT system for proton range calculation Q Meng, J Li, B Hu, X Zhang, S Wang, X Shi, F Xu, R Zhong Radiation Physics and Chemistry 217, 111526, 2024 | | 2024 |
| Comparison of image quality based on deep-learning image reconstruction and iterative reconstruction algorithm for dual-energy CT: a phantom and animal-model study J Jiang, Y Chen, X Shi, LU Wei, B Wang, B Shi, W Wang, L Zhu, Z Pan, ... Chinese Journal of Radiology 57 (12), 1361-1367, 2023 | | 2023 |
| Prediction of proton beam range in phantom with metals based on monochromatic energy CT images Q Meng, J Li, W Jiang, B Hu, F Xu, X Shi, R Zhong Journal of Radiation Research 63 (6), 828-837, 2022 | | 2022 |
Julian JonesImperial College London在 imperial.ac.uk 的电子邮件经过验证
