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Q. Liu
Q. Liu
其他姓名Qinghui Liu
Research scientist
在 ous-hf.no 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
140*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
43*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
402020
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
322020
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
152023
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
142022
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
142018
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
82019
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
7*2023
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
42023
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
42022
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
22023
Deep learning applied to automatic polyp detection in colonoscopy images: master thesis in System Engineering with Embedded Systems
Q Liu
Master thesis, 2017
22017
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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