| 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 | 1971 | 2018 |
| 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 | 890 | 2017 |
| 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 | 620 | 2018 |
| 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 | 355 | 2016 |
| 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 | 351 | 2016 |
| 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 | 328 | 2018 |
| 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 | 305 | 2016 |
| 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 | 299 | 2017 |
| 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 | 262 | 2017 |
| 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 | 197 | 2019 |
| Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019 | 194 | 2019 |
| 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 | 192 | 2018 |
| 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 | 186 | 2018 |
| 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 | 176 | 2019 |
| 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 | 156 | 2018 |
| 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 | 152 | 2018 |
| 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 | 105 | 2017 |
| 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 | 101 | 2018 |
| 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 | 100 | 2019 |
| Hybrid Graph Neural Networks for Crowd Counting A Luo, F Yang, X Li, D Nie, Z Jiao, S Zhou, H Cheng AAAI-2020, 2020 | 92 | 2020 |
