| A combined nomogram model to preoperatively predict histologic grade in pancreatic neuroendocrine tumors W Liang, P Yang, R Huang, L Xu, J Wang, W Liu, L Zhang, D Wan, ... Clinical Cancer Research 25 (2), 584-594, 2019 | 167 | 2019 |
| A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma L Xu, P Yang, W Liang, W Liu, W Wang, C Luo, J Wang, Z Peng, L Xing, ... Theranostics 9 (18), 5374, 2019 | 134 | 2019 |
| Survival prediction in high-grade osteosarcoma using radiomics of diagnostic computed tomography Y Wu, L Xu, P Yang, N Lin, X Huang, W Pan, H Li, P Lin, B Li, V Bunpetch, ... EBioMedicine 34, 27-34, 2018 | 99 | 2018 |
| Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma W Liang, L Xu, P Yang, L Zhang, D Wan, Q Huang, T Niu, F Chen Frontiers in oncology 8, 360, 2018 | 97 | 2018 |
| A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma P Lin, PF Yang, S Chen, YY Shao, L Xu, Y Wu, W Teng, XZ Zhou, BH Li, ... Cancer Imaging 20, 1-12, 2020 | 87 | 2020 |
| Sub-region based radiomics analysis for survival prediction in oesophageal tumours treated by definitive concurrent chemoradiotherapy C Xie, P Yang, X Zhang, L Xu, X Wang, X Li, L Zhang, R Xie, L Yang, ... EBioMedicine 44, 289-297, 2019 | 76 | 2019 |
| A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma R Zhang, L Xu, X Wen, J Zhang, P Yang, L Zhang, X Xue, X Wang, ... Quantitative Imaging in Medicine and Surgery 9 (9), 1503, 2019 | 73 | 2019 |
| Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN) Y Jiang, C Yang, P Yang, X Hu, C Luo, Y Xue, L Xu, X Hu, L Zhang, ... Physics in Medicine & Biology 64 (14), 145003, 2019 | 50 | 2019 |
| A multi-organ cancer study of the classification performance using 2D and 3D image features in radiomics analysis L Xu, P Yang, EA Yen, Y Wan, Y Jiang, Z Cao, X Shen, Y Wu, J Wang, ... Physics in Medicine & Biology 64 (21), 215009, 2019 | 46 | 2019 |
| Integrating tumor and nodal radiomics to predict lymph node metastasis in gastric cancer J Yang, Q Wu, L Xu, Z Wang, K Su, R Liu, EA Yen, S Liu, J Qin, Y Rong, ... Radiotherapy and Oncology 150, 89-96, 2020 | 43 | 2020 |
| A contrast-enhanced computed tomography based radiomics approach for preoperative differentiation of pancreatic cystic neoplasm subtypes: a feasibility study X Shen, F Yang, P Yang, M Yang, L Xu, J Zhuo, J Wang, D Lu, Z Liu, ... Frontiers in Oncology 10, 248, 2020 | 32 | 2020 |
| MRI-radiomics prediction for cytokeratin 19-positive hepatocellular carcinoma: a multicenter study F Yang, Y Wan, L Xu, Y Wu, X Shen, J Wang, D Lu, C Shao, S Zheng, ... Frontiers in Oncology 11, 672126, 2021 | 25 | 2021 |
| Extracting and selecting robust radiomic features from PET/MR images in nasopharyngeal carcinoma P Yang, L Xu, Z Cao, Y Wan, Y Xue, Y Jiang, E Yen, C Luo, J Wang, ... Molecular Imaging and Biology 22, 1581-1591, 2020 | 21 | 2020 |
| Noise suppression in image-domain multi-material decomposition for dual-energy CT Y Jiang, Y Xue, Q Lyu, L Xu, C Luo, P Yang, C Yang, J Wang, X Hu, ... IEEE Transactions on Biomedical Engineering 67 (2), 523-535, 2019 | 19 | 2019 |
| Integrating intratumoral and peritumoral features to predict tumor recurrence in intrahepatic cholangiocarcinoma L Xu, Y Wan, C Luo, J Yang, P Yang, F Chen, J Wang, T Niu Physics in Medicine & Biology 66 (12), 125001, 2021 | 18 | 2021 |
| Radiomics analysis combining unsupervised learning and handcrafted features: A multiple‐disease study Y Wan, P Yang, L Xu, J Yang, C Luo, J Wang, F Chen, Y Wu, Y Lu, ... Medical Physics 48 (11), 7003-7015, 2021 | 14 | 2021 |
| Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images L Xu, P Yang, K Hu, Y Wu, M Xu-Welliver, Y Wan, C Luo, J Wang, J Wang, ... Quantitative Imaging in Medicine and Surgery 11 (4), 1184, 2021 | 13 | 2021 |
| Clinical and morpho-molecular classifiers for prediction of hepatocellular carcinoma prognosis and recurrence after surgical resection X Zhang, Y Bai, L Xu, B Zhang, S Feng, L Xu, H Zhang, L Xu, P Yang, ... Hepatology International 13, 715-725, 2019 | 10 | 2019 |
| Variations of quantitative perfusion measurement on dynamic contrast enhanced CT for colorectal cancer: implication of standardized image protocol T Niu, P Yang, X Sun, T Mao, L Xu, N Yue, Y Kuang, L Shi, K Nie Physics in Medicine & Biology 63 (16), 165009, 2018 | 8 | 2018 |
| Deep neural network-based approach to improving radiomics analysis reproducibility in liver cancer: effect on image resampling P Yang, L Xu, Y Wan, J Yang, Y Xue, Y Jiang, C Luo, J Wang, T Niu Physics in Medicine & Biology 66 (16), 165009, 2021 | 7 | 2021 |
Tianye NiuGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Tianye NiuGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Pengfei YangZhejiang University在 zju.edu.cn 的电子邮件经过验证