| Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19 F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen IEEE reviews in biomedical engineering 14, 4-15, 2020 | 935 | 2020 |
| Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 634 | 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 | 355 | 2018 |
| Scalable high-performance image registration framework by unsupervised deep feature representations learning G Wu, M Kim, Q Wang, BC Munsell, D Shen IEEE Transactions on Biomedical Engineering 63 (7), 1505-1516, 2015 | 269 | 2015 |
| Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ... IEEE Transactions on Medical Imaging 39 (8), 2595-2605, 2020 | 243 | 2020 |
| 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 | 188 | 2017 |
| Deformable Image Registration Based on Similarity-Steered CNN Regression X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 163 | 2017 |
| Integration of network topological and connectivity properties for neuroimaging classification B Jie, D Zhang, W Gao, Q Wang, CY Wee, D Shen IEEE transactions on biomedical engineering 61 (2), 576-589, 2013 | 141 | 2013 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 140 | 2019 |
| Unsupervised deep feature learning for deformable registration of MR brain images G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 140 | 2013 |
| A generative probability model of joint label fusion for multi-atlas based brain segmentation G Wu, Q Wang, D Zhang, F Nie, H Huang, D Shen Medical image analysis 18 (6), 881-890, 2014 | 128 | 2014 |
| 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 | 127 | 2018 |
| ABSORB: Atlas building by self-organized registration and bundling H Jia, G Wu, Q Wang, D Shen NeuroImage 51 (3), 1057-1070, 2010 | 126 | 2010 |
| SharpMean: Groupwise registration guided by sharp mean image and tree-based registration G Wu, H Jia, Q Wang, D Shen NeuroImage 56 (4), 1968-1981, 2011 | 124 | 2011 |
| 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 | 113 | 2018 |
| Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition G Wu, M Kim, G Sanroma, Q Wang, BC Munsell, D Shen, ... NeuroImage 106, 34-46, 2015 | 101 | 2015 |
| 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), 1-14, 2019 | 97 | 2019 |
| Deformable Image Registration Using a Cue-Aware Deep Regression Network X Cao, J Yang, J Zhang, Q Wang, PT Yap, D Shen IEEE Transactions on Biomedical Engineering 65 (9), 1900-1911, 2018 | 92 | 2018 |
| Metabolic Fingerprinting on a Plasmonic Gold Chip for Mass Spectrometry Based in Vitro Diagnostics X Sun, L Huang, R Zhang, W Xu, J Huang, DD Gurav, V Vedarethinam, ... ACS central science 4 (2), 223-229, 2018 | 87 | 2018 |
| Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma L Huang, L Wang, X Hu, S Chen, Y Tao, H Su, J Yang, W Xu, ... Nature communications 11 (1), 1-11, 2020 | 82 | 2020 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
