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Dong Nie
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
18372018
Medical image synthesis with context-aware generative adversarial networks
D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017…, 2017
8532017
Medical image synthesis with deep convolutional adversarial networks
D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen
IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018
5832018
Fully convolutional networks for multi-modality isointense infant brain image segmentation
D Nie, L Wang, Y Gao, D Shen
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 1342-1345, 2016
3422016
3D deep learning for multi-modal imaging-guided survival time prediction of brain tumor patients
D Nie, H Zhang, E Adeli, L Liu, D Shen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th…, 2016
3412016
ASDNet: Attention based Semi-supervised Deep Networks for BioMedical Image Segmentation
D Nie, Y Gao, L Wang, D Shen
International Conference on Medical Image Computing and Computer-Assisted…, 2018
3162018
Estimating CT image from MRI data using 3D fully convolutional networks
D Nie, X Cao, Y Gao, L Wang, D Shen
Deep Learning and Data Labeling for Medical Applications: First…, 2016
2972016
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI
L Xiang, Y Qiao, D Nie, L An, W Lin, Q Wang, D Shen
Neurocomputing 267, 406-416, 2017
2822017
Deformable image registration based on similarity-steered CNN regression
X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017…, 2017
2522017
Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
L Wang, D Nie, G Li, Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE transactions on medical imaging 38 (9), 2219-2230, 2019
1892019
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image
L Xiang, Q Wang, D Nie, L Zhang, X Jin, Y Qiao, D Shen
Medical image analysis 47, 31-44, 2018
1862018
3-D fully convolutional networks for multimodal isointense infant brain image segmentation
D Nie, L Wang, E Adeli, C Lao, W Lin, D Shen
IEEE transactions on cybernetics 49 (3), 1123-1136, 2018
1842018
High-resolution encoder–decoder networks for low-contrast medical image segmentation
S Zhou, D Nie, E Adeli, J Yin, J Lian, D Shen
IEEE Transactions on Image Processing 29, 461-475, 2019
1802019
Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages
D Nie, J Lu, H Zhang, E Adeli, J Wang, Z Yu, LY Liu, Q Wang, J Wu, ...
Scientific reports 9 (1), 1103, 2019
1722019
Anatomical landmark based deep feature representation for MR images in brain disease diagnosis
M Liu, J Zhang, D Nie, PT Yap, D Shen
IEEE journal of biomedical and health informatics 22 (5), 1476-1485, 2018
1532018
Interleaved 3D‐CNN s for joint segmentation of small‐volume structures in head and neck CT images
X Ren, L Xiang, D Nie, Y Shao, H Zhang, D Shen, Q Wang
Medical physics 45 (5), 2063-2075, 2018
1502018
Segmentation of organs at risk in thoracic CT images using a sharpmask architecture and conditional random fields
R Trullo, C Petitjean, S Ruan, B Dubray, D Nie, D Shen
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017…, 2017
1052017
Pelvic organ segmentation using distinctive curve guided fully convolutional networks
K He, X Cao, Y Shi, D Nie, Y Gao, D Shen
IEEE transactions on medical imaging 38 (2), 585-595, 2018
972018
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation
S Wang, K He, D Nie, S Zhou, Y Gao, D Shen
Medical image analysis 54, 168-178, 2019
932019
Hybrid Graph Neural Networks for Crowd Counting
A Luo, F Yang, X Li, D Nie, Z Jiao, S Zhou, H Cheng
AAAI-2020, 2020
892020
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