| Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: a … L Zhang, D Dong, H Li, J Tian, F Ouyang, X Mo, B Zhang, X Luo, Z Lian, ... EBioMedicine 40, 327-335, 2019 | 102 | 2019 |
| 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 |
| 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 | 71 | 2020 |
| Noninvasive prediction of high‐grade prostate cancer via biparametric MRI Radiomics L Gong, M Xu, M Fang, J Zou, S Yang, X Yu, D Xu, L Zhou, H Li, B He, ... Journal of Magnetic Resonance Imaging 52 (4), 1102-1109, 2020 | 66 | 2020 |
| 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 | 63 | 2019 |
| Building CT radiomics-based models for preoperatively predicting malignant potential and mitotic count of gastrointestinal stromal tumors C Wang, H Li, Y Jiaerken, P Huang, L Sun, F Dong, Y Huang, D Dong, ... Translational oncology 12 (9), 1229-1236, 2019 | 50 | 2019 |
| Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer XX Wang, Y Ding, SW Wang, D Dong, HL Li, J Chen, H Hu, C Lu, J Tian, ... Cancer Imaging 20, 1-10, 2020 | 42 | 2020 |
| CT-Based Radiomic Signature as a Prognostic Factor in Stage IV ALK-Positive Non-small-cell Lung Cancer Treated With TKI Crizotinib: A Proof-of-Concept Study H Li, R Zhang, S Wang, M Fang, Y Zhu, Z Hu, D Dong, J Shi, J Tian Frontiers in Oncology 10, 57, 2020 | 41 | 2020 |
| A deep learning radiomics model to identify poor outcome in COVID-19 patients with underlying health conditions: a multicenter study S Wang, D Dong, L Li, H Li, Y Bai, Y Hu, Y Huang, X Yu, S Liu, X Qiu, L Lu, ... IEEE Journal of Biomedical and Health Informatics 25 (7), 2353-2362, 2021 | 32 | 2021 |
| Preoperative computed tomography‐guided disease‐free survival prediction in gastric cancer: a multicenter radiomics study S Wang, C Feng, D Dong, H Li, J Zhou, Y Ye, Z Liu, J Tian, Y Wang Medical Physics 47 (10), 4862-4871, 2020 | 31 | 2020 |
| Evaluation of lymph node metastasis in advanced gastric cancer using magnetic resonance imaging-based radiomics W Chen, S Wang, D Dong, X Gao, K Zhou, J Li, B Lv, H Li, X Wu, M Fang, ... Frontiers in oncology 9, 1265, 2019 | 27 | 2019 |
| 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 17, 118-135, 2023 | 21 | 2023 |
| The potential of prostate gland radiomic features in identifying the Gleason score L Gong, M Xu, M Fang, B He, H Li, X Fang, D Dong, J Tian Computers in biology and medicine 144, 105318, 2022 | 21 | 2022 |
| Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research S Wang, D Dong, W Zhang, H Hu, H Li, Y Zhu, J Zhou, X Shan, J Tian Medical Physics 48 (9), 5017-5028, 2021 | 18 | 2021 |
| 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 | 16 | 2023 |
| A multi-view co-training network for semi-supervised medical image-based prognostic prediction H Li, S Wang, B Liu, M Fang, R Cao, B He, S Liu, C Hu, D Dong, X Wang, ... Neural Networks 164, 455-463, 2023 | 12 | 2023 |
| From signal to knowledge: The diagnostic value of raw data in the artificial intelligence prediction of human data for the first time B He, Y Guo, Y Zhu, L Tong, B Kong, K Wang, C Sun, H Li, F Huang, L Wu, ... Engineering 34, 60-69, 2024 | 10 | 2024 |
| CT-based identification of pediatric non-Wilms tumors using convolutional neural networks at a single center Y Zhu, H Li, Y Huang, W Fu, S Wang, N Sun, D Dong, J Tian, Y Peng Pediatric Research 94 (3), 1104-1110, 2023 | 10 | 2023 |
| 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 116 (8), 1294-1302, 2024 | 9 | 2024 |
| Deep learning‐based radiomics model can predict extranodal soft tissue metastasis in gastric cancer S Liu, J Deng, D Dong, M Fang, Z Ye, Y Hu, H Li, L Zhong, R Cao, X Zhao, ... Medical Physics 51 (1), 267-277, 2024 | 8 | 2024 |
Di DongInstitute of Automation, Chinese Academy of Sciencesia.ac.cn의 이메일 확인됨
