Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling TY Jia, JF Xiong, XY Li, W Yu, ZY Xu, XW Cai, JC Ma, YC Ren, R Larsson, ... European radiology 29, 4742-4750, 2019 | 140 | 2019 |
The role of PET-based radiomic features in predicting local control of esophageal cancer treated with concurrent chemoradiotherapy J Xiong, W Yu, J Ma, Y Ren, X Fu, J Zhao Scientific Reports 8 (1), 9902, 2018 | 41 | 2018 |
Detection of epithelial growth factor receptor (EGFR) mutations on CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary … XY Li, JF Xiong, TY Jia, TL Shen, RP Hou, J Zhao, XL Fu Journal of thoracic disease 10 (12), 6624, 2018 | 35 | 2018 |
Computerized detection of lung nodules through radiomics J Ma, Z Zhou, Y Ren, J Xiong, L Fu, Q Wang, J Zhao Medical physics 44 (8), 4148-4158, 2017 | 34 | 2017 |
Implementation strategy of a CNN model affects the performance of CT assessment of EGFR mutation status in lung cancer patients J Xiong, X Li, L Lu, LH Schwartz, X Fu, J Zhao, B Zhao Ieee Access 7, 64583-64591, 2019 | 25 | 2019 |
Predicting EGFR mutation status in lung adenocarcinoma presenting as ground-glass opacity: utilizing radiomics model in clinical translation B Cheng, H Deng, Y Zhao, J Xiong, P Liang, C Li, H Liang, J Shi, J Li, ... European Radiology 32 (9), 5869-5879, 2022 | 20 | 2022 |
Identifying epidermal growth factor receptor mutation status in patients with lung adenocarcinoma by three-dimensional convolutional neural networks JF Xiong, TY Jia, XY Li, W Yu, ZY Xu, XW Cai, L Fu, J Zhang, BJ Qin, ... The British Journal of Radiology 91 (1092), 20180334, 2018 | 19 | 2018 |
Improved false positive reduction by novel morphological features for computer-aided polyp detection in CT colonography Y Ren, J Ma, J Xiong, Y Chen, L Lu, J Zhao IEEE journal of biomedical and health informatics 23 (1), 324-333, 2018 | 19 | 2018 |
High-performance CAD-CTC scheme using shape index, multiscale enhancement filters, and radiomic features Y Ren, J Ma, J Xiong, L Lu, J Zhao IEEE Transactions on Biomedical Engineering 64 (8), 1924-1934, 2016 | 13 | 2016 |
A 3D convolutional neural network framework for polyp candidates detection on the limited dataset of CT colonography Y Chen, Y Ren, L Fu, J Xiong, R Larsson, X Xu, J Sun, J Zhao 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 12 | 2018 |
Predicting tyrosine kinase inhibitor treatment response in stage IV lung adenocarcinoma patients with EGFR mutation using model-based deep transfer learning R Hou, X Li, J Xiong, T Shen, W Yu, LH Schwartz, B Zhao, J Zhao, X Fu Frontiers in oncology 11, 679764, 2021 | 9 | 2021 |
Automatic delineation of the clinical target volume in rectal Cancer for Radiation Therapy using three-dimensional fully convolutional neural networks R Larsson, JF Xiong, Y Song, YZ Chen, X Xiaowei, P Zhang, J Zhao 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 8 | 2018 |
Lung field segmentation using weighted sparse shape composition with robust initialization J Xiong, Y Shao, J Ma, Y Ren, Q Wang, J Zhao Medical physics 44 (11), 5916-5929, 2017 | 8 | 2017 |
Predicting malignancy and invasiveness of pulmonary subsolid nodules on CT images using deep learning T Shen, R Hou, X Ye, X Li, J Xiong, Q Zhang, C Zhang, X Cai, W Yu, ... Frontiers in Oncology 11, 700158, 2021 | 7 | 2021 |
Mix-and-interpolate: a training strategy to deal with source-biased medical data Y Li, J Chen, D Wei, Y Zhu, J Wu, J Xiong, Y Gang, W Sun, H Xu, T Qian, ... IEEE Journal of Biomedical and Health Informatics 26 (1), 172-182, 2021 | 4 | 2021 |
MA 14.12 Detecting Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma Using Radiomics and Random Forest T Jia, J Xiong, X Li, J Ma, Y Ren, Z Xu, X Cai, J Zhang, J Zhao, X Fu Journal of Thoracic Oncology 12 (11), S1860, 2017 | 3 | 2017 |
P3. 13-022 3D CNNs for recognition of epidermal growth factor receptor mutation status in patients with lung adenocarcinoma J Xiong, T Jia, X Li, L Fu, Z Xu, X Cai, J Zhang, X Fu, J Zhao Journal of Thoracic Oncology 12 (11), S2324, 2017 | 2 | 2017 |
P02. 01 Evaluation of PFS for Pulmonary Adenocarcinoma Patient Treated With EGFR Tyrosine Kinase Inhibitors Using Deep Learning Based on CT Image J Xiong, X Li, R Hou, T Shen, J Wu, Y Zhu, X Fu, J Zhao Journal of Thoracic Oncology 16 (3), S246, 2021 | | 2021 |
3D CNN for Prediction of PFS in Patient Receiving First-Line TKI Treatment Using CT Image J XIONG, X Li, R Hou, T Shen, J Wu, Y Zhu, R Li, J Zhao, X Fu European Congress of Radiology-ECR 2020, 2020 | | 2020 |
BJR UNCORRECTED PROOFS JF Xiong, TY Jia, XY Li, W Yu, ZY Xu, XW Cai, L Fu, J Zhang, BJ Qin, ... | | 2018 |