| Spontaneous pneumomediastinum: a probable unusual complication of coronavirus disease 2019 (COVID-19) pneumonia J Wang, X Su, T Zhang, C Zheng Korean journal of radiology 21 (5), 627, 2020 | 142 | 2020 |
| Multi-contrast atherosclerosis characterization (MATCH) of carotid plaque with a single 5-min scan: technical development and clinical feasibility Z Fan, W Yu, Y Xie, L Dong, L Yang, Z Wang, AH Conte, X Bi, J An, ... Journal of cardiovascular magnetic resonance 16 (1), 53, 2014 | 66 | 2014 |
| Systolic MOLLI T1 mapping with heart-rate-dependent pulse sequence sampling scheme is feasible in patients with atrial fibrillation L Zhao, S Li, X Ma, A Greiser, T Zhang, J An, R Bai, J Dong, Z Fan Journal of Cardiovascular Magnetic Resonance 18 (1), 13, 2016 | 50 | 2016 |
| Left ventricular myocardial deformation on cine MR images: relationship to severity of disease and prognosis in light-chain amyloidosis K Wan, J Sun, D Yang, H Liu, J Wang, W Cheng, Q Zhang, Z Zeng, ... Radiology 288 (1), 73-80, 2018 | 47 | 2018 |
| The diagnostic value of non-contrast enhanced quiescent interval single shot (QISS) magnetic resonance angiography at 3T for lower extremity peripheral arterial disease, in … G Wu, J Yang, T Zhang, JN Morelli, S Giri, X Li, W Tang Journal of Cardiovascular Magnetic Resonance 18 (1), 71, 2016 | 45 | 2016 |
| High resolution 3D diffusion cardiovascular magnetic resonance of carotid vessel wall to detect lipid core without contrast media Y Xie, W Yu, Z Fan, C Nguyen, X Bi, J An, T Zhang, Z Zhang, D Li Journal of cardiovascular magnetic resonance 16, 1-10, 2014 | 42 | 2014 |
| Assessment of diabetic cardiomyopathy by cardiovascular magnetic resonance T1 mapping: correlation with left-ventricular diastolic dysfunction and diabetic duration Y Shang, X Zhang, W Leng, L Chen, X Lei, T Zhang, A Greiser, Z Liang, ... Journal of diabetes research 2017, 2017 | 40 | 2017 |
| Histological validation of cardiac magnetic resonance T1 mapping for detecting diffuse myocardial fibrosis in diabetic rabbits M Zeng, N Zhang, Y He, Z Wen, Z Wang, Y Zhao, A Greiser, J An, T Zhang, ... Journal of Magnetic Resonance Imaging 44 (5), 1179-1185, 2016 | 37 | 2016 |
| A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis C Yan, L Wang, J Lin, J Xu, T Zhang, J Qi, X Li, W Ni, G Wu, J Huang, ... European Radiology, 1-12, 2022 | 35 | 2022 |
| Cardiovascular magnetic resonance evidence of myocardial fibrosis and its clinical significance in adolescent and adult patients with Ebstein's anomaly D Yang, X Li, JY Sun, W Cheng, A Greiser, TJ Zhang, H Liu, K Wan, Y Luo, ... Journal of Cardiovascular Magnetic Resonance 20 (1), 69, 2018 | 33 | 2018 |
| Automatic prediction of MGMT status in glioblastoma via deep learning-based MR image analysis X Chen, M Zeng, Y Tong, T Zhang, Y Fu, H Li, Z Zhang, Z Cheng, X Xu, ... BioMed research international 2020, 2020 | 30 | 2020 |
| Multiparametric MRI in differentiating pulmonary artery sarcoma and pulmonary thromboembolism: a preliminary experience M Liu, C Luo, Y Wang, X Guo, Z Ma, Y Yang, T Zhang Diagnostic and Interventional Radiology 23 (1), 15, 2017 | 30 | 2017 |
| Distribution pattern of left-ventricular myocardial strain analyzed by a cine MRI based deformation registration algorithm in healthy Chinese volunteers H Liu, D Yang, K Wan, Y Luo, JY Sun, TJ Zhang, WH Li, A Greiser, ... Scientific Reports 7 (1), 45314, 2017 | 21 | 2017 |
| Diagnostic performance of 2D and 3D T2WI-based radiomics features with machine learning algorithms to distinguish solid solitary pulmonary lesion Q Wan, J Zhou, X Xia, J Hu, P Wang, Y Peng, T Zhang, J Sun, Y Song, ... Frontiers in Oncology 11, 683587, 2021 | 16 | 2021 |
| Intravoxel incoherent motion diffusion-weighted imaging of lung cancer: comparison between turbo spin-echo and echo-planar imaging Q Wan, Q Lei, P Wang, J Hu, T Zhang, D Yu, X Li, C Liang Journal of computer assisted tomography 44 (3), 334-340, 2020 | 13 | 2020 |
| Altered gray matter volume in patients with type 1 diabetes mellitus J Liu, W Fan, Y Jia, X Su, W Wu, X Long, X Sun, J Liu, W Sun, T Zhang, ... Frontiers in Endocrinology 11, 45, 2020 | 10 | 2020 |
| Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy WL Peng, TJ Zhang, K Shi, HX Li, Y Li, S He, C Li, D Xia, CC Xia, ZL Li European Radiology, 1-10, 2022 | 9 | 2022 |
| Cycle-consistent generative adversarial network: effect on radiation dose reduction and image quality improvement in ultralow-dose CT for evaluation of pulmonary tuberculosis C Yan, J Lin, H Li, J Xu, T Zhang, H Chen, HC Woodruff, G Wu, S Zhang, ... Korean journal of radiology 22 (6), 983, 2021 | 9 | 2021 |
| Machine learning-based combined nomogram for predicting the risk of pulmonary invasive fungal infection in severely immunocompromised patients C Yan, P Hao, G Wu, J Lin, J Xu, T Zhang, X Li, H Li, S Wang, Y Xu, ... Annals of translational medicine 10 (9), 2022 | 7 | 2022 |
| Respiratory self‐gating for free‐breathing magnetization transfer MRI of the abdomen W Li, Z Zhang, K Li, N Jin, Y Zhang, T Zhang, FH Miller, AC Larson Magnetic resonance in medicine 73 (6), 2249-2254, 2015 | 7 | 2015 |
Debiao Li, PhDDirector, Biomedical Imaging Research Institute, Cedars-Sinai, Professor of Medicine, UCLAVerified email at cshs.org
