| Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer Y Jiang, C Chen, J Xie, W Wang, X Zha, W Lv, H Chen, Y Hu, T Li, J Yu, ... EBioMedicine 36, 171-182, 2018 | 149 | 2018 |
| Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits Y Jiang, Q Yuan, W Lv, S Xi, W Huang, Z Sun, H Chen, L Zhao, W Liu, ... Theranostics 8 (21), 5915, 2018 | 121 | 2018 |
| Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization L Lu, W Lv, J Jiang, J Ma, Q Feng, A Rahmim, W Chen Molecular Imaging and Biology 18, 935-945, 2016 | 114 | 2016 |
| Radiomics analysis of PET and CT components of PET/CT imaging integrated with clinical parameters: application to prognosis for nasopharyngeal carcinoma W Lv, Q Yuan, Q Wang, J Ma, Q Feng, W Chen, A Rahmim, L Lu Molecular imaging and biology 21, 954-964, 2019 | 80 | 2019 |
| Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer W Lv, S Ashrafinia, J Ma, L Lu, A Rahmim IEEE journal of biomedical and health informatics 24 (8), 2268-2277, 2019 | 79 | 2019 |
| Standardization in quantitative imaging: a multicenter comparison of radiomic features from different software packages on digital reference objects and patient data sets M McNitt-Gray, S Napel, A Jaggi, SA Mattonen, L Hadjiiski, M Muzi, ... Tomography 6 (2), 118-128, 2020 | 74 | 2020 |
| Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT W Lv, Q Yuan, Q Wang, J Ma, J Jiang, W Yang, Q Feng, W Chen, ... European radiology 28, 3245-3254, 2018 | 68 | 2018 |
| Radiomics signature on computed tomography imaging: association with lymph node metastasis in patients with gastric cancer Y Jiang, W Wang, C Chen, X Zhang, X Zha, W Lv, J Xie, W Huang, Z Sun, ... Frontiers in oncology 9, 340, 2019 | 63 | 2019 |
| Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma post-therapy PET/CT images D Du, H Feng, W Lv, S Ashrafinia, Q Yuan, Q Wang, W Yang, Q Feng, ... Molecular imaging and biology 22, 730-738, 2020 | 62 | 2020 |
| Subregional radiomics analysis of PET/CT imaging with intratumor partitioning: application to prognosis for nasopharyngeal carcinoma H Xu, W Lv, H Feng, D Du, Q Yuan, Q Wang, Z Dai, W Yang, Q Feng, J Ma, ... Molecular Imaging and Biology 22, 1414-1426, 2020 | 60 | 2020 |
| Integration of PET/CT radiomics and semantic features for differentiation between active pulmonary tuberculosis and lung cancer D Du, J Gu, X Chen, W Lv, Q Feng, A Rahmim, H Wu, L Lu Molecular Imaging and Biology 23, 287-298, 2021 | 48 | 2021 |
| Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal [18F] FDG PET/CT images L Peng, X Hong, Q Yuan, L Lu, Q Wang, W Chen Annals of Nuclear Medicine 35, 458-468, 2021 | 32 | 2021 |
| Dynamic PET image denoising with deep learning-based joint filtering Y He, S Cao, H Zhang, H Sun, F Wang, H Zhu, W Lv, L Lu IEEE Access 9, 41998-42012, 2021 | 15 | 2021 |
| Context-aware saliency guided radiomics: application to prediction of outcome and HPV-status from multi-center PET/CT images of head and neck cancer W Lv, H Xu, X Han, H Zhang, J Ma, A Rahmim, L Lu Cancers 14 (7), 1674, 2022 | 14 | 2022 |
| Imbalanced data correction based PET/CT radiomics model for predicting lymph node metastasis in clinical stage T1 lung adenocarcinoma J Lv, X Chen, X Liu, D Du, W Lv, L Lu, H Wu Frontiers in Oncology 12, 788968, 2022 | 14 | 2022 |
| Evaluation and optimization of radiomics features stability to respiratory motion in 18F‐FDG 3D PET imaging H Xu, W Lv, H Zhang, J Ma, P Zhao, L Lu Medical Physics 48 (9), 5165-5178, 2021 | 14 | 2021 |
| A computer-aided diagnosis scheme of breast lesion classification using GLGLM and shape features: Combined-view and multi-classifiers C Liang, Z Bian, W Lv, S Chen, D Zeng, J Ma Physica Medica 55, 61-72, 2018 | 12 | 2018 |
| Complementary value of intra-and peri-tumoral PET/CT radiomics for outcome prediction in head and neck cancer W Lv, H Feng, D Du, J Ma, L Lu IEEE Access 9, 81818-81827, 2021 | 11 | 2021 |
| Evaluation of the diagnostic value of joint PET myocardial perfusion and metabolic imaging for vascular stenosis in patients with obstructive coronary artery disease F Wang, W Xu, W Lv, D Du, H Feng, X Zhang, S Wang, W Chen, L Lu Journal of Nuclear Cardiology 28 (6), 3070-3080, 2021 | 10 | 2021 |
| Identification of stage IIIC/IV EGFR-mutated non-small cell lung cancer populations sensitive to targeted therapy based on a PET/CT radiomics risk model D Shao, D Du, H Liu, J Lv, Y Cheng, H Zhang, W Lv, S Wang, L Lu Frontiers in Oncology 11, 721318, 2021 | 10 | 2021 |
