| 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 | 1495 | 2020 |
| Severity assessment of COVID-19 using CT image features and laboratory indices Z Tang, W Zhao, X Xie, Z Zhong, F Shi, T Ma, J Liu, D Shen Physics in Medicine & Biology 66 (3), 035015, 2021 | 249* | 2021 |
| Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi, Y Gao, J Liu, ... Pattern recognition 113, 107828, 2021 | 103 | 2021 |
| Deep spatial-temporal feature fusion from adaptive dynamic functional connectivity for MCI identification Y Li, J Liu, Z Tang, B Lei IEEE Transactions on Medical Imaging 39 (9), 2818-2830, 2020 | 98 | 2020 |
| Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients Z Tang, Y Xu, L Jin, A Aibaidula, J Lu, Z Jiao, J Wu, H Zhang, D Shen IEEE transactions on medical imaging 39 (6), 2100-2109, 2020 | 80 | 2020 |
| Multi-atlas segmentation of MR tumor brain images using low-rank based image recovery Z Tang, S Ahmad, PT Yap, D Shen IEEE transactions on medical imaging 37 (10), 2224-2235, 2018 | 70 | 2018 |
| A new multi-atlas registration framework for multimodal pathological images using conventional monomodal normal atlases Z Tang, PT Yap, D Shen IEEE Transactions on Image Processing 28 (5), 2293-2304, 2018 | 34 | 2018 |
| Fully automatic extraction of human spine curve from MR images using methods of efficient intervertebral disk extraction and vertebra registration Z Tang, J Pauli International journal of computer assisted radiology and surgery 6, 21-33, 2011 | 16 | 2011 |
| Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation H Zhu, Z Tang, H Cheng, Y Wu, Y Fan Scientific reports 9 (1), 16839, 2019 | 15 | 2019 |
| Multi-atlas brain parcellation using squeeze-and-excitation fully convolutional networks Z Tang, X Liu, Y Li, PT Yap, D Shen IEEE transactions on image processing 29, 6864-6872, 2020 | 14 | 2020 |
| Pre-operative overall survival time prediction for glioblastoma patients using deep learning on both imaging phenotype and genotype Z Tang, Y Xu, Z Jiao, J Lu, L Jin, A Aibaidula, J Wu, Q Wang, H Zhang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 12 | 2019 |
| Groupwise registration of MR brain images with tumors Z Tang, Y Wu, Y Fan Physics in Medicine & Biology 62 (17), 6853, 2017 | 12 | 2017 |
| Groupwise image registration guided by a dynamic digraph of images Z Tang, Y Fan Neuroinformatics 14, 131-145, 2016 | 10 | 2016 |
| An improved deep learning approach for thyroid nodule diagnosis X Guo, H Zhao, Z Tang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 296-299, 2020 | 8 | 2020 |
| Groupwise registration of MR brain images containing tumors via spatially constrained low-rank based image recovery Z Tang, Y Cui, B Jiang Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 7 | 2017 |
| Image registration based on dynamic directed graphs with groupwise image similarity Z Tang, D Jiang, Y Fan 2013 IEEE 10th International Symposium on Biomedical Imaging, 492-495, 2013 | 7 | 2013 |
| A new image similarity metric for improving deformation consistency in graph-based groupwise image registration Z Tang, PT Yap, D Shen IEEE Transactions on Biomedical Engineering 66 (8), 2192-2199, 2018 | 6 | 2018 |
| Brain image parcellation using multi-atlas guided adversarial fully convolutional network X Liu, H Zhao, S Zhang, Z Tang 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 5 | 2019 |
| Multimodal brain tumor segmentation using contrastive learning based feature comparison with monomodal normal brain images H Liu, D Nie, D Shen, J Wang, Z Tang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| Automatic identification of functional kinematic bone features from mrt segmentation for gait analysis Z Tang, J Pauli Materialwissenschaft und Werkstofftechnik 40 (10), 725-731, 2009 | 4 | 2009 |
