| 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 | 161 | 2019 |
| Visual relationship detection with deep structural ranking K Liang, Y Guo, H Chang, X Chen Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 71 | 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), 1-11, 2020 | 34 | 2020 |
| 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 | 29 | 2015 |
| Representation learning with smooth autoencoder K Liang, H Chang, Z Cui, S Shan, X Chen Asian conference on computer vision, 72-86, 2014 | 11 | 2014 |
| 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 | 9 | 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 | 8 | 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 | 4 | 2020 |
| Context-aware refinement network incorporating structural connectivity prior for brain midline delineation S Wang, K Liang, Y Li, Y Yu, Y Wang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 3 | 2020 |
| 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 | 2 | 2022 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 2 | 2021 |
| Visual concept conjunction learning with recurrent neural networks K Liang, H Chang, S Shan, X Chen Neurocomputing 395, 229-236, 2020 | 2 | 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, W WEI, X YANG, F XIAO, Y WANG, ... Chinese Journal of Radiology, 941-945, 2019 | 2 | 2019 |
| Incomplete Attribute Learning with auxiliary labels. K Liang, Y Guo, H Chang, X Chen IJCAI, 2252-2258, 2017 | 2 | 2017 |
| 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 | 1 | 2020 |
| Clinically Applicable Deep Learning for Intracranial Aneurysm Detection in Computed Tomography Angiography Images: A Comprehensive Multicohort Study Z Shi, C Miao, C Pan, X Chai, XL Li, S Xia, Y Gu, Y Zhang, B Hu, W Xu, ... medRxiv, 2020 | 1 | 2020 |
| Attribute conjunction learning with recurrent neural network K Liang, H Chang, S Shan, X Chen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 1 | 2016 |
| 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 | | 2022 |
| Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects C Liu, X Zeng, K Liang, Y Yu, C Ye International Conference on Medical Image Computing and Computer-Assisted …, 2021 | | 2021 |
| Automated detection of 3D midline shift in spontaneous supratentorial intracerebral haemorrhage with non-contrast computed tomography using deep convolutional neural networks X Xia, X Zhang, Z Huang, Q Ren, H Li, Y Li, K Liang, H Wang, K Han, ... American Journal of Translational Research 13 (10), 11513, 2021 | | 2021 |
Hong ChangAssociate Researcher at Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
