Di Dong
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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
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
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
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
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
The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Z Liu, S Wang, JW Di Dong, C Fang, X Zhou, K Sun, L Li, B Li, M Wang, ...
Theranostics 9 (5), 1303, 2019
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 (7), 2772-2778, 2018
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
Real-time visualized freehand 3D ultrasound reconstruction based on GPU
Y Dai, J Tian, D Dong, G Yan, H Zheng
IEEE Transactions on information technology in biomedicine 14 (6), 1338-1345, 2010
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
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 (5), 2058-2067, 2018
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
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
Learning from experts: Developing transferable deep features for patient-level lung cancer prediction
W Shen, M Zhou, F Yang, D Dong, C Yang, Y Zang, J Tian
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Helical optical projection tomography
A Arranz, D Dong, S Zhu, M Rudin, C Tsatsanis, J Tian, J Ripoll
Optics express 21 (22), 25912-25925, 2013
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
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 (2), 889-897, 2019
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
Fast Katsevich algorithm based on GPU for helical cone-beam computed tomography
G Yan, J Tian, S Zhu, C Qin, Y Dai, F Yang, D Dong, P Wu
IEEE Transactions on information technology in biomedicine 14 (4), 1053-1061, 2009
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
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