| 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 | 1592 | 2020 |
| 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 | 855 | 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 | 649 | 2018 |
| 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 | 479 | 2019 |
| 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 | 403 | 2020 |
| 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 | 354 | 2015 |
| Transformers in medical image analysis K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen Intelligent Medicine 3 (1), 59-78, 2023 | 342 | 2023 |
| 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 | 313 | 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 | 274 | 2017 |
| 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 | 215 | 2013 |
| 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), 3556, 2020 | 201 | 2020 |
| 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 | 196 | 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 | 196 | 2018 |
| Interactive computer-aided diagnosis on medical image using large language models S Wang, Z Zhao, X Ouyang, T Liu, Q Wang, D Shen Communications Engineering 3 (1), 133, 2024 | 190* | 2024 |
| Doctorglm: Fine-tuning your chinese doctor is not a herculean task H Xiong, S Wang, Y Zhu, Z Zhao, Y Liu, L Huang, Q Wang, D Shen arXiv preprint arXiv:2304.01097, 2023 | 176 | 2023 |
| 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 | 164 | 2013 |
| 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 | 156 | 2018 |
| Adversarial learning for mono-or multi-modal registration J Fan, X Cao, Q Wang, PT Yap, D Shen Medical image analysis 58, 101545, 2019 | 148 | 2019 |
| Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction L Xiang, Y Chen, W Chang, Y Zhan, W Lin, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 66 (7), 2105-2114, 2018 | 147 | 2018 |
| 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 | 145 | 2011 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
