| 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 | 273 | 2019 |
| 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 | 94 | 2018 |
| 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 | 66 | 2020 |
| 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 | 38 | 2021 |
| 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 | 33 | 2015 |
| 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 | 25 | 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 | 13 | 2018 |
| 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 | 11 | 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 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 | 5 | 2020 |
| Evaluation of spontaneous intracerebral hemorrhage by using CT image segmentation and volume assessment based on deep learning J WANG, Y LIN, J XIONG, S YU, WEI Wei, X YANG, F XIAO, Y WANG, ... Chinese Journal of Radiology, 941-945, 2019 | 5 | 2019 |
| 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 | 4 | 2022 |
| 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 | 4 | 2022 |
| Fine-grained visual classification via simultaneously learning of multi-regional multi-grained features D Chang, Y Zheng, Z Ma, R Du, K Liang arXiv preprint arXiv:2102.00367, 2021 | 4 | 2021 |
| 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 | 3 | 2021 |
| Visual concept conjunction learning with recurrent neural networks K Liang, H Chang, S Shan, X Chen Neurocomputing 395, 229-236, 2020 | 3 | 2020 |
| Semi-supervised brain lesion segmentation using training images with and without lesions C Liu, F Pang, Y Liu, K Liang, X Li, X Zeng, C Ye 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 279-282, 2020 | 3 | 2020 |
| Incomplete Attribute Learning with auxiliary labels. K Liang, Y Guo, H Chang, X Chen IJCAI, 2252-2258, 2017 | 3 | 2017 |
Hong ChangResearcher at Institute of Computing Technology, Chinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
