| Boundary-aware fully convolutional network for brain tumor segmentation H Shen, R Wang, J Zhang, SJ McKenna Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 114 | 2017 |
| Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a … S Bisdas, H Shen, S Thust, V Katsaros, G Stranjalis, C Boskos, ... Scientific reports 8 (1), 6108, 2018 | 57 | 2018 |
| Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation H Shen, J Zhang, W Zheng 2017 IEEE International Conference on Image Processing (ICIP), 3864-3868, 2017 | 45 | 2017 |
| Weakly-supervised nucleus segmentation based on point annotations: A coarse-to-fine self-stimulated learning strategy K Tian, J Zhang, H Shen, K Yan, P Dong, J Yao, S Che, P Luo, X Han Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 42 | 2020 |
| Multi-task fully convolutional network for brain tumour segmentation H Shen, R Wang, J Zhang, S McKenna Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 23 | 2017 |
| Fully connected CRF with data-driven prior for multi-class brain tumor segmentation H Shen, J Zhang 2017 IEEE International Conference on Image Processing (ICIP), 1727-1731, 2017 | 18 | 2017 |
| Deep active learning for breast cancer segmentation on immunohistochemistry images H Shen, K Tian, P Dong, J Zhang, K Yan, S Che, J Yao, P Luo, X Han Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 12 | 2020 |
| Improving Ki67 assessment concordance by the use of an artificial intelligence‐empowered microscope: a multi‐institutional ring study L Cai, K Yan, H Bu, M Yue, P Dong, X Wang, L Li, K Tian, H Shen, ... Histopathology 79 (4), 544-555, 2021 | 11 | 2021 |
| Counterfeit anomaly using generative adversarial network for anomaly detection H Shen, J Chen, R Wang, J Zhang IEEE Access 8, 133051-133062, 2020 | 10 | 2020 |
| Combination of CNN and hand-crafted feature for ischemic Stroke Lesion segmentation H Shen, S Manivannan, R Annunziata, R Wang, J Zhang Ischemic stroke lesion segmentation 1, 2016 | 8 | 2016 |
| Adversarial learning with data selection for cross-domain histopathological breast cancer segmentation Z Lin, J Li, Q Yao, H Shen, L Wan Multimedia Tools and Applications 81 (4), 5989-6008, 2022 | 7 | 2022 |
| Microscope based her2 scoring system J Zhang, K Tian, P Dong, H Shen, K Yan, J Yao, J Huang, X Han arXiv preprint arXiv:2009.06816, 2020 | 7 | 2020 |
| Brain tumor region segmentation using local co-occurrence features and conditional random fields S Manivannan, H Shen, W Li, R Annunziata, H Hamad, R Wang, J Zhang Technique Report, 015-019, 2014 | 7 | 2014 |
| A clifford analytic signal-based breast lesion segmentation method for 4d spatial-temporal dce-mri sequences L Wang, H Shen, J Zhang, Y Zhu, C Jiang IEEE Access 8, 3901-3910, 2019 | 5 | 2019 |
| Progressive visual prompt learning with contrastive feature re-formation C Xu, H Shen, F Shi, B Chen, Y Liao, X Chen, L Wang arXiv preprint arXiv:2304.08386, 2023 | 4 | 2023 |
| Human action recognition by random features and hand-crafted features: A comparative study H Shen, J Zhang, H Zhang Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 4 | 2015 |
| Symmetry-driven fully convolutional network for brain tumor segmentation H Shen, R Wang, J Zhang, S McKenna MICCAI BraTS, 274-278, 2017 | 2 | 2017 |
| DPL: Decoupled Prompt Learning for Vision-Language Models C Xu, Y Zhu, G Zhang, H Shen, Y Liao, X Chen, G Wu, L Wang arXiv preprint arXiv:2308.10061, 2023 | 1 | 2023 |
| New boundary constraint loss to facilitate glands segmentation W Lu, J Yao, X Han, H Shen Journal of Medical Imaging and Health Informatics 10 (7), 1714-1723, 2020 | 1 | 2020 |
Jianguo ZhangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
