| Intravoxel incoherent motion diffusion‐weighted MR imaging of breast cancer at 3.0 tesla: comparison of different curve‐fitting methods S Suo, N Lin, H Wang, L Zhang, R Wang, S Zhang, J Hua, J Xu Journal of Magnetic Resonance Imaging 42 (2), 362-370, 2015 | 132 | 2015 |
| Non-Gaussian water diffusion kurtosis imaging of prostate cancer S Suo, X Chen, L Wu, X Zhang, Q Yao, Y Fan, H Wang, J Xu Magnetic resonance imaging 32 (5), 421-427, 2014 | 120 | 2014 |
| Characterization of breast masses as benign or malignant at 3.0 T MRI with whole‐lesion histogram analysis of the apparent diffusion coefficient S Suo, K Zhang, M Cao, X Suo, J Hua, X Geng, J Chen, Z Zhuang, X Ji, ... Journal of Magnetic Resonance Imaging 43 (4), 894-902, 2016 | 109 | 2016 |
| Multiparametric diffusion‐weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors S Suo, F Cheng, M Cao, J Kang, M Wang, J Hua, X Hua, L Li, Q Lu, J Liu, ... Journal of Magnetic Resonance Imaging 46 (3), 740-750, 2017 | 108 | 2017 |
| Stroke assessment with intravoxel incoherent motion diffusion‐weighted MRI S Suo, M Cao, W Zhu, L Li, J Li, F Shen, J Zu, Z Zhou, Z Zhuang, J Qu, ... NMR in Biomedicine 29 (3), 320-328, 2016 | 75 | 2016 |
| Histogram analysis of apparent diffusion coefficient at 3.0 T in urinary bladder lesions: correlation with pathologic findings ST Suo, XX Chen, Y Fan, LM Wu, QY Yao, MQ Cao, Q Liu, JR Xu Academic radiology 21 (8), 1027-1034, 2014 | 56 | 2014 |
| Correlation between dual-energy spectral CT imaging parameters and pathological grades of non-small cell lung cancer LY Lin, Y Zhang, ST Suo, F Zhang, JJ Cheng, HW Wu Clinical Radiology 73 (4), 412. e1-412. e7, 2018 | 54 | 2018 |
| Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging S Suo, D Zhang, F Cheng, M Cao, J Hua, J Lu, J Xu European radiology 29, 1425-1434, 2019 | 40 | 2019 |
| Apparent diffusion coefficient measurement in glioma: Influence of region‐of‐interest determination methods on apparent diffusion coefficient values, interobserver variability … X Han, S Suo, Y Sun, J Zu, J Qu, Y Zhou, Z Chen, J Xu Journal of Magnetic Resonance Imaging 45 (3), 722-730, 2017 | 40 | 2017 |
| Breast region segmentation being convolutional neural network in dynamic contrast enhanced MRI X Xu, L Fu, Y Chen, R Larsson, D Zhang, S Suo, J Hua, J Zhao 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 38 | 2018 |
| Assessment of heterogeneity difference between edge and core by using texture analysis: differentiation of malignant from inflammatory pulmonary nodules and masses S Suo, J Cheng, M Cao, Q Lu, Y Yin, J Xu, H Wu Academic radiology 23 (9), 1115-1122, 2016 | 38 | 2016 |
| Evaluation of skeletal muscle microvascular perfusion of lower extremities by cardiovascular magnetic resonance arterial spin labeling, blood oxygenation level-dependent, and … S Suo, L Zhang, H Tang, Q Ni, S Li, H Mao, X Liu, S He, J Qu, Q Lu, J Xu Journal of Cardiovascular Magnetic Resonance 20 (1), 18, 2018 | 34 | 2018 |
| Application of a simplified method for estimating perfusion derived from diffusion-weighted MR imaging in glioma grading M Cao, S Suo, X Han, K Jin, Y Sun, Y Wang, W Ding, J Qu, X Zhang, ... Frontiers in aging neuroscience 9, 432, 2018 | 30 | 2018 |
| Comparison of monoexponential, biexponential, stretched-exponential, and kurtosis models of diffusion-weighted imaging in differentiation of renal solid masses J Zhang, S Suo, G Liu, S Zhang, Z Zhao, J Xu, G Wu Korean Journal of Radiology 20 (5), 791, 2019 | 29 | 2019 |
| Preliminary study of diffusion kurtosis imaging in thyroid nodules and its histopathologic correlation R Shi, Q Yao, Q Zhou, Q Lu, S Suo, J Chen, W Zheng, Y Dai, L Wu, J Xu European Radiology 27, 4710-4720, 2017 | 29 | 2017 |
| Investigation of the non-Gaussian water diffusion properties in bladder cancer using diffusion kurtosis imaging: a preliminary study S Suo, X Chen, X Ji, Z Zhuang, L Wu, Q Yao, Y Fan, J Xu Journal of Computer Assisted Tomography 39 (2), 281-285, 2015 | 29 | 2015 |
| Entropy of T2-weighted imaging combined with apparent diffusion coefficient in prediction of uterine leiomyoma volume response after uterine artery embolization MQ Cao, ST Suo, XB Zhang, YC Zhong, ZG Zhuang, JJ Cheng, JC Chi, ... Academic radiology 21 (4), 437-444, 2014 | 23 | 2014 |
| Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix H Mi, M Yuan, S Suo, J Cheng, S Li, S Duan, Q Lu Scientific reports 10 (1), 20407, 2020 | 22 | 2020 |
| Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network M Qiao, S Suo, F Cheng, J Hua, D Xue, Y Guo, J Xu, Y Wang Computerized Medical Imaging and Graphics 90, 101909, 2021 | 20 | 2021 |
| Diffusion-weighted MRI for predicting pathologic response to neoadjuvant chemotherapy in breast cancer: evaluation with mono-, bi-, and stretched-exponential models S Suo, Y Yin, X Geng, D Zhang, J Hua, F Cheng, J Chen, Z Zhuang, ... Journal of Translational Medicine 19 (1), 236, 2021 | 19 | 2021 |
