Di Dong
Cited by
Cited by
The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou, K Sun, L Li, B Li, M Wang, ...
Theranostics 9 (5), 1303, 2019
Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification
W Shen, M Zhou, F Yang, D Yu, D Dong, C Yang, Y Zang, J Tian
Pattern Recognition 61, 663-673, 2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
S Wang, M Zhou, Z Liu, Z Liu, D Gu, Y Zang, D Dong, O Gevaert, J Tian
Medical image analysis 40, 172-183, 2017
Radiomics features of multiparametric MRI as novel prognostic factors in advanced nasopharyngeal carcinoma
B Zhang, J Tian, D Dong, D Gu, Y Dong, L Zhang, Z Lian, J Liu, X Luo, ...
Clinical Cancer Research 23 (15), 4259-4269, 2017
The role of imaging in the detection and management of COVID-19: a review
D Dong, Z Tang, S Wang, H Hui, L Gong, Y Lu, Z Xue, H Liao, F Chen, ...
IEEE reviews in biomedical engineering 14, 16-29, 2020
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
S Wang, J Shi, Z Ye, D Dong, D Yu, M Zhou, Y Liu, O Gevaert, K Wang, ...
European Respiratory Journal 53 (3), 2019
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
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
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
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
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
The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer
C Liang, Y Huang, L He, X Chen, Z Ma, D Dong, J Tian, C Liang, Z Liu
Oncotarget 7 (21), 31401, 2016
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer
L Han, Y Zhu, Z Liu, T Yu, C He, W Jiang, Y Kan, D Dong, J Tian, Y Luo
European radiology 29, 3820-3829, 2019
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
Evolutionary nonnegative matrix factorization algorithms for community detection in dynamic networks
X Ma, D Dong
IEEE transactions on knowledge and data engineering 29 (5), 1045-1058, 2017
2D and 3D CT radiomics features prognostic performance comparison in non-small cell lung cancer
C Shen, Z Liu, M Guan, J Song, Y Lian, S Wang, Z Tang, D Dong, L Kong, ...
Translational oncology 10 (6), 886-894, 2017
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
Community detection in multi-layer networks using joint nonnegative matrix factorization
X Ma, D Dong, Q Wang
IEEE Transactions on Knowledge and Data Engineering 31 (2), 273-286, 2018
A multi-view deep convolutional neural networks for lung nodule segmentation
S Wang, M Zhou, O Gevaert, Z Tang, D Dong, Z Liu, T Jie
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
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), 2020
The system can't perform the operation now. Try again later.
Articles 1–20