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Q. Liu
Q. Liu
Other namesQinghui Liu
Research scientist
Verified email at ous-hf.no - Homepage
Title
Cited by
Cited by
Year
Dense dilated convolutions’ merging network for land cover classification
Q Liu, M Kampffmeyer, R Jenssen, AB Salberg
IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6309-6320, 2020
120*2020
Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images
Q Liu, M Kampffmeyer, R Jenssen, AB Salberg
International Journal of Remote Sensing 42 (16), 6184-6208, 2021
36*2021
Multi-view self-constructing graph convolutional networks with adaptive class weighting loss for semantic segmentation
Q Liu, MC Kampffmeyer, R Jenssen, AB Salberg
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
352020
The 1st agriculture-vision challenge: Methods and results
MT Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
302020
A comparison of deep learning architectures for semantic mapping of very high resolution images
Q Liu, AB Salberg, R Jenssen
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
132018
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge
X Li, G Luo, K Wang, H Wang, J Liu, X Liang, J Jiang, Z Song, C Zheng, ...
arXiv preprint arXiv:2301.03281, 2023
112023
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
Q Liu, M Kampffmeyer, R Jenssen, AB Salberg
International Journal of Remote Sensing 43 (9), 3509-3535, 2022
112022
Road mapping in LiDAR images using a joint-task dense dilated convolutions merging network
Q Liu, M Kampffmeyer, R Jenssen, AB Salberg
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
72019
Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT
Q Liu, BJ MacIntosh, T Schellhorn, K Skogen, KE Emblem, A Bjørnerud
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), doi={10 …, 2023
4*2023
Coastal Habitat Mapping with Uav Multi-Sensor Data: AN Experiment among Dcnn-Based Approaches
Y Liu, Q Liu, JE Sample, K Hancke, AB Salberg
Copernicus Publications, 2022
22022
Deep learning applied to automatic polyp detection in colonoscopy images: master thesis in System Engineering with Embedded Systems
Q Liu
University College of Southeast Norway, Faculty of Technology and Maritime …, 2017
22017
Radiological features of brain haemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury
BJ MacIntosh, Q Liu, T Schellhorn, MK Beyer, IR Groote, PC Morberg, ...
Frontiers in Neurology 14, 1244672, 2023
12023
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction
Q Liu, E Fuster-Garcia, IT Hovden, D Sederevicius, K Skogen, ...
Preprints In the IEEE trans. format for submission to IEEE-TMI, https …, 2023
12023
Interpreting deep learning models for glioma survival classification using visualization and textual explanations
M Osadebey, Q Liu, E Fuster-Garcia, KE Emblem
BMC Medical Informatics and Decision Making 23 (1), 225, 2023
2023
Predicting glioma tumor growth with denoise diffusion probabilistic models
Q Liu, E Fuster-Garcia, I Thokle Hovden, D Sederevičius, K Skogen, ...
27th Conference on Medical Image Understanding and Analysis 2023, 11, 0
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