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 | 40 | 2020 |
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 | 32 | 2020 |
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 | 15 | 2023 |
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 | 14 | 2022 |
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 | 14 | 2018 |
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 | 8 | 2019 |
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 | 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 | 4 | 2022 |
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 | 2 | 2023 |
Deep learning applied to automatic polyp detection in colonoscopy images: master thesis in System Engineering with Embedded Systems Q Liu Master thesis, 2017 | 2 | 2017 |
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 | | |