| Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial … D Dong, F Zhang, LZ Zhong, MJ Fang, CL Huang, JJ Yao, Y Sun, J Tian, ... BMC medicine 17, 1-11, 2019 | 74 | 2019 |
| Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma W Lu, L Zhong, D Dong, M Fang, Q Dai, S Leng, L Zhang, W Sun, J Tian, ... European journal of radiology 118, 231-238, 2019 | 74 | 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 | 65 | 2021 |
| CT radiomics can help screen the coronavirus disease 2019 (COVID-19): a preliminary study M Fang, B He, L Li, D Dong, X Yang, C Li, L Meng, L Zhong, H Li, H Li, ... Science China Information Sciences 63, 1-8, 2020 | 65 | 2020 |
| Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study H Hu, L Gong, D Dong, L Zhu, M Wang, J He, L Shu, Y Cai, S Cai, W Su, ... Gastrointestinal Endoscopy 93 (6), 1333-1341. e3, 2021 | 62 | 2021 |
| Multiplanar MRI-based predictive model for preoperative assessment of lymph node metastasis in endometrial cancer X Xu, H Li, S Wang, M Fang, L Zhong, W Fan, D Dong, J Tian, X Zhao Frontiers in oncology 9, 1007, 2019 | 54 | 2019 |
| Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions M Xu, M Fang, J Zou, S Yang, D Yu, L Zhong, C Hu, Y Zang, D Dong, ... European journal of radiology 114, 38-44, 2019 | 48 | 2019 |
| Multi-habitat based radiomics for the prediction of treatment response to concurrent chemotherapy and radiation therapy in locally advanced cervical cancer M Fang, Y Kan, D Dong, T Yu, N Zhao, W Jiang, L Zhong, C Hu, Y Luo, ... Frontiers in oncology 10, 563, 2020 | 42 | 2020 |
| A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 LZ Zhong, XL Fang, D Dong, H Peng, MJ Fang, CL Huang, BX He, L Lin, ... Radiotherapy and Oncology 151, 1-9, 2020 | 37 | 2020 |
| A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study F Zhang, LZ Zhong, X Zhao, D Dong, JJ Yao, SY Wang, Y Liu, D Zhu, ... Therapeutic Advances in Medical Oncology 12, 1758835920971416, 2020 | 28 | 2020 |
| Deep learning‐based AI model for signet‐ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer C Li, Y Qin, WH Zhang, H Jiang, B Song, MR Bashir, H Xu, T Duan, ... Medical Physics 49 (3), 1535-1546, 2022 | 21 | 2022 |
| Computed tomography radiomic nomogram for preoperative prediction of extrathyroidal extension in papillary thyroid carcinoma B Chen, L Zhong, D Dong, J Zheng, M Fang, C Yu, Q Dai, L Zhang, J Tian, ... Frontiers in Oncology 9, 829, 2019 | 21 | 2019 |
| Artificial intelligence in gastric cancer: applications and challenges R Cao, L Tang, M Fang, L Zhong, S Wang, L Gong, J Li, D Dong, J Tian Gastroenterology Report 10, goac064, 2022 | 18 | 2022 |
| Multi-focus network to decode imaging phenotype for overall survival prediction of Gastric cancer patients L Zhang, D Dong, L Zhong, C Li, C Hu, X Yang, Z Liu, R Wang, J Zhou, ... IEEE journal of biomedical and health informatics 25 (10), 3933-3942, 2021 | 15 | 2021 |
| Integrating No. 3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer X Wang, C Li, M Fang, L Zhang, L Zhong, D Dong, J Tian, X Shan BMC medical imaging 21, 1-10, 2021 | 14 | 2021 |
| Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images L Zhang, L Zhong, C Li, W Zhang, C Hu, D Dong, Z Liu, J Zhou, J Tian Neural Networks 152, 394-406, 2022 | 7 | 2022 |
| Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study T Liu, D Dong, X Zhao, XM Ou, JL Yi, J Guan, Y Zhang, L Xiao-Fei, ... BMC medicine 21 (1), 464, 2023 | 6 | 2023 |
| Radiomics and deep learning in nasopharyngeal carcinoma: a review Z Wang, M Fang, J Zhang, L Tang, L Zhong, H Li, R Cao, X Zhao, S Liu, ... IEEE Reviews in Biomedical Engineering, 2023 | 5 | 2023 |
| Development of a deep learning‐based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study Y Liu, H Duan, D Dong, J Chen, L Zhong, L Zhang, R Cao, H Fan, Z Cui, ... Clinical and Translational Medicine 12 (7), 2022 | 5 | 2022 |
| Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma DF Lin, HL Li, T Liu, XF Lv, CM Xie, XM Ou, J Guan, Y Zhang, WB Yan, ... JNCI: Journal of the National Cancer Institute, djae081, 2024 | 1 | 2024 |
