| Fastfcn: Rethinking dilated convolution in the backbone for semantic segmentation H Wu, J Zhang, K Huang, K Liang, Y Yu arXiv preprint arXiv:1903.11816, 2019 | 346 | 2019 |
| A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images Z Shi, C Miao, UJ Schoepf, RH Savage, DM Dargis, C Pan, X Chai, XL Li, ... Nature communications 11 (1), 6090, 2020 | 115 | 2020 |
| Visual relationship detection with deep structural ranking K Liang, Y Guo, H Chang, X Chen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 103 | 2018 |
| Advances in deep learning-based medical image analysis X Liu, K Gao, B Liu, C Pan, K Liang, L Yan, J Ma, F He, S Zhang, S Pan, ... Health Data Science 2021, 2021 | 89 | 2021 |
| Duplex contextual relation network for polyp segmentation Z Yin, K Liang, Z Ma, J Guo 2022 IEEE 19th international symposium on biomedical imaging (ISBI), 1-5, 2022 | 73 | 2022 |
| A unified multiplicative framework for attribute learning K Liang, H Chang, S Shan, X Chen Proceedings of the IEEE International Conference on Computer Vision, 2506-2514, 2015 | 35 | 2015 |
| Symmetry-enhanced attention network for acute ischemic infarct segmentation with non-contrast CT images K Liang, K Han, X Li, X Cheng, Y Li, Y Wang, Y Yu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 23 | 2021 |
| Graph convolution based cross-network multiscale feature fusion for deep vessel segmentation G Zhao, K Liang, C Pan, F Zhang, X Wu, X Hu, Y Yu IEEE Transactions on Medical Imaging 42 (1), 183-195, 2022 | 21 | 2022 |
| Unifying visual attribute learning with object recognition in a multiplicative framework K Liang, H Chang, B Ma, S Shan, X Chen IEEE transactions on pattern analysis and machine intelligence 41 (7), 1747-1760, 2018 | 21 | 2018 |
| Learning invariant visual representations for compositional zero-shot learning T Zhang, K Liang, R Du, X Sun, Z Ma, J Guo European Conference on Computer Vision, 339-355, 2022 | 18 | 2022 |
| Domain generalization via frequency-domain-based feature disentanglement and interaction J Wang, R Du, D Chang, K Liang, Z Ma Proceedings of the 30th ACM International Conference on Multimedia, 4821-4829, 2022 | 16 | 2022 |
| DF^ 2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification J Yin, Z Ma, J Xie, S Nie, K Liang, J Guo arXiv preprint arXiv:2104.00226, 2021 | 11 | 2021 |
| Representation learning with smooth autoencoder K Liang, H Chang, Z Cui, S Shan, X Chen Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 10 | 2015 |
| Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas X Xia, Q Ren, J Cui, H Dong, Z Huang, Q Jiang, S Guan, C Huang, J Yin, ... Annals of Translational Medicine 10 (1), 2022 | 9 | 2022 |
| Super-resolution information enhancement for crowd counting J Xie, W Xu, D Liang, Z Ma, K Liang, W Liu, R Wang, L Jin ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Dual-granularity feature alignment for cross-modality person re-identification J Yin, Z Ma, J Xie, S Nie, K Liang, J Guo Neurocomputing 511, 78-90, 2022 | 7 | 2022 |
| Segmentation-based method combined with dynamic programming for brain midline delineation S Wang, K Liang, C Pan, C Ye, X Li, F Liu, Y Yu, Y Wang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 772-776, 2020 | 7 | 2020 |
| On-the-fly category discovery R Du, D Chang, K Liang, T Hospedales, YZ Song, Z Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Improved brain lesion segmentation with anatomical priors from healthy subjects C Liu, X Zeng, K Liang, Y Yu, C Ye Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
| Context-aware refinement network incorporating structural connectivity prior for brain midline delineation S Wang, K Liang, Y Li, Y Yu, Y Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
Zhanyu MaBeijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
