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Kongming Liang
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年份
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
1722019
Visual relationship detection with deep structural ranking
K Liang, Y Guo, H Chang, X Chen
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
732018
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
342020
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
282015
Representation learning with smooth autoencoder
K Liang, H Chang, Z Cui, S Shan, X Chen
Asian conference on computer vision, 72-86, 2014
112014
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
102021
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
92018
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
42022
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
42020
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
32020
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
22021
Visual concept conjunction learning with recurrent neural networks
K Liang, H Chang, S Shan, X Chen
Neurocomputing 395, 229-236, 2020
22020
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
22019
Incomplete Attribute Learning with auxiliary labels.
K Liang, Y Guo, H Chang, X Chen
IJCAI, 2252-2258, 2017
22017
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
12022
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
12021
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
12020
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
12020
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
12016
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
T Zhang, K Liang, R Du, X Sun, Z Ma, J Guo
arXiv preprint arXiv:2206.00415, 2022
2022
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