| Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer D Dong, L Tang, ZY Li, MJ Fang, JB Gao, XH Shan, XJ Ying, YS Sun, J Fu, ... Annals of Oncology 30 (3), 431-438, 2019 | 375 | 2019 |
| Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study D Dong, MJ Fang, L Tang, XH Shan, JB Gao, F Giganti, RP Wang, X Chen, ... Annals of oncology 31 (7), 912-920, 2020 | 316 | 2020 |
| Prognostic value of deep learning PET/CT-based radiomics: potential role for future individual induction chemotherapy in advanced nasopharyngeal carcinoma H Peng, D Dong, MJ Fang, L Li, LL Tang, L Chen, WF Li, YP Mao, W Fan, ... Clinical Cancer Research 25 (14), 4271-4279, 2019 | 299 | 2019 |
| Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer? L Yang, D Dong, M Fang, Y Zhu, Y Zang, Z Liu, H Zhang, J Ying, X Zhao, ... European radiology 28, 2058-2067, 2018 | 216 | 2018 |
| Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer X Zhu, D Dong, Z Chen, M Fang, L Zhang, J Song, D Yu, Y Zang, Z Liu, ... European radiology 28, 2772-2778, 2018 | 200 | 2018 |
| A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy J Song, J Shi, D Dong, M Fang, W Zhong, K Wang, N Wu, Y Huang, Z Liu, ... Clinical Cancer Research 24 (15), 3583-3592, 2018 | 181 | 2018 |
| Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker B He, D Dong, Y She, C Zhou, M Fang, Y Zhu, H Zhang, Z Huang, T Jiang, ... Journal for immunotherapy of cancer 8 (2), e000550, 2020 | 164 | 2020 |
| Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule L Fan, MJ Fang, ZB Li, WT Tu, SP Wang, WF Chen, J Tian, D Dong, ... European radiology 29, 889-897, 2019 | 157 | 2019 |
| Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer J Li, D Dong, M Fang, R Wang, J Tian, H Li, J Gao European Radiology 30, 2324-2333, 2020 | 147 | 2020 |
| A deep learning radiomics model for preoperative grading in meningioma Y Zhu, C Man, L Gong, D Dong, X Yu, S Wang, M Fang, S Wang, X Fang, ... European journal of radiology 116, 128-134, 2019 | 132 | 2019 |
| Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer W Zhang, M Fang, D Dong, X Wang, X Ke, L Zhang, C Hu, L Guo, X Guan, ... Radiotherapy and Oncology 145, 13-20, 2020 | 126 | 2020 |
| Quantitative biomarkers for prediction of epidermal growth factor receptor mutation in non-small cell lung cancer L Zhang, B Chen, X Liu, J Song, M Fang, C Hu, D Dong, W Li, J Tian Translational oncology 11 (1), 94-101, 2018 | 124 | 2018 |
| CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphoma Z Ma, M Fang, Y Huang, L He, X Chen, C Liang, X Huang, Z Cheng, ... European Journal of Radiology 91, 142-147, 2017 | 111 | 2017 |
| Building CT radiomics based nomogram for preoperative esophageal cancer patients lymph node metastasis prediction C Shen, Z Liu, Z Wang, J Guo, H Zhang, Y Wang, J Qin, H Li, M Fang, ... Translational oncology 11 (3), 815-824, 2018 | 105 | 2018 |
| 2D and 3D CT radiomic features performance comparison in characterization of gastric cancer: a multi-center study L Meng, D Dong, X Chen, M Fang, R Wang, J Li, Z Liu, J Tian IEEE journal of biomedical and health informatics 25 (3), 755-763, 2020 | 102 | 2020 |
| MR‐based radiomics nomogram of cervical cancer in prediction of the lymph‐vascular space invasion preoperatively Z Li, H Li, S Wang, D Dong, F Yin, A Chen, S Wang, G Zhao, M Fang, ... Journal of Magnetic Resonance Imaging 49 (5), 1420-1426, 2019 | 101 | 2019 |
| Radiomic signature as a predictive factor for lymph node metastasis in early‐stage cervical cancer Y Kan, D Dong, Y Zhang, W Jiang, N Zhao, L Han, M Fang, Y Zang, C Hu, ... Journal of Magnetic Resonance Imaging 49 (1), 304-310, 2019 | 95 | 2019 |
| A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study L Zhong, D Dong, X Fang, F Zhang, N Zhang, L Zhang, M Fang, W Jiang, ... EBioMedicine 70, 2021 | 93 | 2021 |
| Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer J Li, M Fang, R Wang, D Dong, J Tian, P Liang, J Liu, J Gao European radiology 28, 5241-5249, 2018 | 91 | 2018 |
| Diagnosis of distant metastasis of lung cancer: based on clinical and radiomic features H Zhou, D Dong, B Chen, M Fang, Y Cheng, Y Gan, R Zhang, L Zhang, ... Translational oncology 11 (1), 31-36, 2018 | 87 | 2018 |
