| Adaptive dictionary learning in sparse gradient domain for image recovery Q Liu, S Wang, L Ying, X Peng, Y Zhu, D Liang IEEE Transactions on Image Processing 22 (12), 4652-4663, 2013 | 112 | 2013 |
| Feature selection and performance evaluation of support vector machine (SVM)-based classifier for differentiating benign and malignant pulmonary nodules by computed tomography Y Zhu, Y Tan, Y Hua, M Wang, G Zhang, J Zhang Journal of digital imaging 23, 51-65, 2010 | 100 | 2010 |
| Accelerated MR diffusion tensor imaging using distributed compressed sensing Y Wu, YJ Zhu, QY Tang, C Zou, W Liu, RB Dai, X Liu, EX Wu, L Ying, ... Magnetic Resonance in Medicine 71 (2), 763-772, 2014 | 66 | 2014 |
| Differentiation of true-progression from pseudoprogression in glioblastoma treated with radiation therapy and concomitant temozolomide by GLCM texture analysis of conventional MRI X Chen, X Wei, Z Zhang, R Yang, Y Zhu, X Jiang Clinical imaging 39 (5), 775-780, 2015 | 64 | 2015 |
| PANDA‐ : Integrating principal component analysis and dictionary learning for fast mapping Y Zhu, Q Zhang, Q Liu, YXJ Wang, X Liu, H Zheng, D Liang, J Yuan Magnetic resonance in medicine 73 (1), 263-272, 2015 | 58 | 2015 |
| Deep low-rank plus sparse network for dynamic MR imaging W Huang, Z Ke, ZX Cui, J Cheng, Z Qiu, S Jia, L Ying, Y Zhu, D Liang Medical Image Analysis 73, 102190, 2021 | 57 | 2021 |
| Texture analysis of baseline multiphasic hepatic computed tomography images for the prognosis of single hepatocellular carcinoma after hepatectomy: a retrospective pilot study S Chen, Y Zhu, Z Liu, C Liang European journal of radiology 90, 198-204, 2017 | 56 | 2017 |
| Learned low-rank priors in dynamic MR imaging Z Ke, W Huang, ZX Cui, J Cheng, S Jia, H Wang, X Liu, H Zheng, L Ying, ... IEEE Transactions on Medical Imaging 40 (12), 3698-3710, 2021 | 51 | 2021 |
| Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma M Li, S Fu, Y Zhu, Z Liu, S Chen, L Lu, C Liang Oncotarget 7 (11), 13248, 2016 | 47 | 2016 |
| Automatic segmentation of ground-glass opacities in lung CT images by using Markov random field-based algorithms Y Zhu, Y Tan, Y Hua, G Zhang, J Zhang Journal of digital imaging 25, 409-422, 2012 | 45 | 2012 |
| Texture analysis of intermediate-advanced hepatocellular carcinoma: prognosis and patients' selection of transcatheter arterial chemoembolization and sorafenib S Fu, S Chen, C Liang, Z Liu, Y Zhu, Y Li, L Lu Oncotarget 8 (23), 37855, 2017 | 39 | 2017 |
| Learning data consistency and its application to dynamic MR imaging J Cheng, ZX Cui, W Huang, Z Ke, L Ying, H Wang, Y Zhu, D Liang IEEE Transactions on Medical Imaging 40 (11), 3140-3153, 2021 | 31 | 2021 |
| An unsupervised deep learning method for multi-coil cine MRI Z Ke, J Cheng, L Ying, H Zheng, Y Zhu, D Liang Physics in medicine & biology 65 (23), 235041, 2020 | 31 | 2020 |
| Radiomic Analysis of Native T1 Mapping Images Discriminates Between MYH7 and MYBPC3‐Related Hypertrophic Cardiomyopathy J Wang, F Yang, W Liu, J Sun, Y Han, D Li, GV Gkoutos, Y Zhu, Y Chen Journal of Magnetic Resonance Imaging 52 (6), 1714-1721, 2020 | 29 | 2020 |
| High-Frequency Space Diffusion Model for Accelerated MRI C Cao, ZX Cui, Y Wang, S Liu, T Chen, H Zheng, D Liang, Y Zhu IEEE Transactions on Medical Imaging, 2024 | 28 | 2024 |
| SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping Y Zhu, Y Liu, L Ying, X Peng, YXJ Wang, J Yuan, X Liu, D Liang Physics in medicine & biology 63 (18), 185009, 2018 | 27 | 2018 |
| Automated myocardial T2 and extracellular volume quantification in cardiac MRI using transfer learning–based myocardium segmentation Y Zhu, AS Fahmy, C Duan, S Nakamori, R Nezafat Radiology: Artificial Intelligence 2 (1), e190034, 2020 | 25 | 2020 |
| Fractal analysis: prognostic value of left ventricular trabecular complexity cardiovascular MRI in participants with hypertrophic cardiomyopathy J Wang, Y Li, F Yang, L Bravo, K Wan, Y Xu, W Cheng, J Sun, Y Zhu, ... Radiology 298 (1), 71-79, 2021 | 23 | 2021 |
| Left atrial function predicts outcome in dilated cardiomyopathy: fast long-axis strain analysis derived from MRI Y Li, Y Xu, S Tang, X Jiang, W Li, J Guo, F Yang, Z Xu, J Sun, Y Han, ... Radiology 302 (1), 72-81, 2022 | 22 | 2022 |
| High-dimensional embedding network derived prior for compressive sensing MRI reconstruction M Zhang, M Li, J Zhou, Y Zhu, S Wang, D Liang, Y Chen, Q Liu Medical Image Analysis 64, 101717, 2020 | 21 | 2020 |
