| Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer Y Cui, X Yang, Z Shi, Z Yang, X Du, Z Zhao, X Cheng European radiology 29, 1211-1220, 2019 | 214 | 2019 |
| Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI ST Feng, Y Jia, B Liao, B Huang, Q Zhou, X Li, K Wei, L Chen, B Li, ... European radiology 29, 4648-4659, 2019 | 195 | 2019 |
| CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation Q Shan, H Hu, S Feng, Z Peng, S Chen, Q Zhou, X Li, X Xie, M Lu, ... Cancer Imaging 19, 1-11, 2019 | 153 | 2019 |
| Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging S Chen, S Feng, J Wei, F Liu, B Li, X Li, Y Hou, D Gu, M Tang, H Xiao, ... European radiology 29, 4177-4187, 2019 | 137 | 2019 |
| Prostate cancer differentiation and aggressiveness: assessment with a radiomic‐based model vs. PI‐RADS v2 T Chen, M Li, Y Gu, Y Zhang, S Yang, C Wei, J Wu, X Li, W Zhao, J Shen Journal of Magnetic Resonance Imaging 49 (3), 875-884, 2019 | 137 | 2019 |
| Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography … P Yin, N Mao, C Zhao, J Wu, C Sun, L Chen, N Hong European radiology 29, 1841-1847, 2019 | 129 | 2019 |
| Hepatocellular carcinoma: radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction Z Zhang, H Jiang, J Chen, Y Wei, L Cao, Z Ye, X Li, L Ma, B Song Cancer Imaging 19, 1-10, 2019 | 116 | 2019 |
| Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis W Li, Y Huang, BW Zhuang, GJ Liu, HT Hu, X Li, JY Liang, Z Wang, ... European radiology 29, 1496-1506, 2019 | 115 | 2019 |
| Assessment of liver fibrosis by variable flip angle T1 mapping at 3.0T Z Li, J Sun, X Hu, N Huang, G Han, L Chen, Y Zhou, W Bai, X Yang Journal of Magnetic Resonance Imaging 43 (3), 698-703, 2016 | 94 | 2016 |
| Predicting malignancy in thyroid nodules: radiomics score versus 2017 American College of Radiology Thyroid Imaging, Reporting and Data System J Liang, X Huang, H Hu, Y Liu, Q Zhou, Q Cao, W Wang, B Liu, Y Zheng, ... Thyroid 28 (8), 1024-1033, 2018 | 92 | 2018 |
| MRI radiomics analysis for predicting preoperative synchronous distant metastasis in patients with rectal cancer H Liu, C Zhang, L Wang, R Luo, J Li, H Zheng, Q Yin, Z Zhang, S Duan, ... European radiology 29, 4418-4426, 2019 | 83 | 2019 |
| A comparative analysis of two machine learning-based diagnostic patterns with thyroid imaging reporting and data system for thyroid nodules: diagnostic performance and … CK Zhao, TT Ren, YF Yin, H Shi, HX Wang, BY Zhou, XR Wang, X Li, ... Thyroid 31 (3), 470-481, 2021 | 79 | 2021 |
| Radiomics model of contrast-enhanced computed tomography for predicting the recurrence of acute pancreatitis Y Chen, T Chen, C Wu, Q Lin, R Hu, C Xie, H Zuo, J Wu, Q Mu, Q Fu, ... European radiology 29, 4408-4417, 2019 | 76 | 2019 |
| CT-based radiomics for preoperative prediction of early recurrent hepatocellular carcinoma: Technical reproducibility of acquisition and scanners H Hu, Q Shan, S Chen, B Li, S Feng, E Xu, X Li, J Long, X Xie, M Lu, ... La radiologia medica 125, 697-705, 2020 | 73 | 2020 |
| Radiomics analysis of multiparametric MRI evaluates the pathological features of cervical squamous cell carcinoma Q Wu, D Shi, S Dou, L Shi, M Liu, L Dong, X Chang, M Wang Journal of Magnetic Resonance Imaging 49 (4), 1141-1148, 2019 | 70 | 2019 |
| Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening L Mao, H Chen, M Liang, K Li, J Gao, P Qin, X Ding, X Li, X Liu Quantitative imaging in medicine and surgery 9 (2), 263, 2019 | 69 | 2019 |
| Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction Q He, X Li, DWN Kim, X Jia, X Gu, X Zhen, L Zhou Information Fusion 55, 207-219, 2020 | 68 | 2020 |
| Radiomics analysis based on multiparametric MRI for predicting early recurrence in hepatocellular carcinoma after partial hepatectomy Y Zhao, J Wu, Q Zhang, Z Hua, W Qi, N Wang, T Lin, L Sheng, D Cui, J Liu, ... Journal of Magnetic Resonance Imaging 53 (4), 1066-1079, 2021 | 67 | 2021 |
| A triple‐classification radiomics model for the differentiation of primary chordoma, giant cell tumor, and metastatic tumor of sacrum based on T2‐weighted and contrast‐enhanced … P Yin, N Mao, C Zhao, J Wu, L Chen, N Hong Journal of Magnetic Resonance Imaging 49 (3), 752-759, 2019 | 67 | 2019 |
| Radiomics analysis of iodine-based material decomposition images with dual-energy computed tomography imaging for preoperatively predicting microsatellite instability status in … J Wu, Q Zhang, Y Zhao, Y Liu, A Chen, X Li, T Wu, J Li, Y Guo, A Liu Frontiers in oncology 9, 1250, 2019 | 66 | 2019 |