| Deep learning in magnetic resonance image reconstruction SS Chandra, M Bran Lorenzana, X Liu, S Liu, S Bollmann, S Crozier Journal of Medical Imaging and Radiation Oncology 65 (5), 564-577, 2021 | 40 | 2021 |
| Recurrence plot-based approach for cardiac arrhythmia classification using inception-ResNet-v2 H Zhang, C Liu, Z Zhang, Y Xing, X Liu, R Dong, Y He, L Xia, F Liu Frontiers in physiology 12, 648950, 2021 | 34 | 2021 |
| Integrating model-and data-driven methods for synchronous adaptive multi-band image fusion S Lin, Z Han, D Li, J Zeng, X Yang, X Liu, F Liu Information Fusion 54, 145-160, 2020 | 26 | 2020 |
| Universal undersampled mri reconstruction X Liu, J Wang, F Liu, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 22 | 2021 |
| On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks X Liu, J Wang, H Sun, SS Chandra, S Crozier, F Liu Magnetic resonance imaging 77, 159-168, 2021 | 17 | 2021 |
| Electrocardiogram reconstruction based on compressed sensing Z Zhang, X Liu, S Wei, H Gan, F Liu, Y Li, C Liu, F Liu IEEE Access 7, 37228-37237, 2019 | 17 | 2019 |
| Deep unregistered multi-contrast MRI reconstruction X Liu, J Wang, J Jin, M Li, F Tang, S Crozier, F Liu Magnetic Resonance Imaging 81, 33-41, 2021 | 13 | 2021 |
| Constrained backtracking matching pursuit algorithm for image reconstruction in compressed sensing X Bi, L Leng, C Kim, X Liu, Y Du, F Liu Applied Sciences 11 (4), 1435, 2021 | 12 | 2021 |
| Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection X Liu, J Wang, S Lin, S Crozier, F Liu NMR in Biomedicine 34 (8), e4540, 2021 | 8 | 2021 |
| Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI X Liu, J Wang, F Tang, SS Chandra, F Liu, S Crozier ISMRM & SMRT Virtual Conference & Exhibition, 2020, 2020 | 6 | 2020 |
| Undersampled mri reconstruction with side information-guided normalisation X Liu, J Wang, C Peng, SS Chandra, F Liu, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Towards Universal Representation Learning for Multi-domain Hyperspectral Image Classification J Wang, J Zhou, X Liu IEEE Transactions on Geoscience and Remote Sensing, 2023 | 3 | 2023 |
| Compressed sensing-based simultaneous recovery of magnitude and phase MR images via dual trigonometric sparsity W He, X Liu, L Zhao, R Li, F Liu IEEE Access 9, 38001-38009, 2021 | 3 | 2021 |
| Evidence-aware multi-modal data fusion and its application to total knee replacement prediction X Liu, J Wang, SK Zhou, C Engstrom, SS Chandra arXiv preprint arXiv:2303.13810, 2023 | 2 | 2023 |
| Spectral and spatial residual attention network for joint hyperspectral and lidar data classification J Wang, J Zhou, X Liu, F Jahan International Geoscience and Remote Sensing Symposium, 2021 | 2 | 2021 |
| Improving deep learning-based fast MRI with pre-acquired image guidance X Liu The University of Queensland, 2022 | | 2022 |
| Rapid region-of-interest MRI reconstruction using context-aware non-local U-Net X Liu, J Wang, F Tang, H Sun, F Liu, S Crozier ISMRM & SMRT Virtual Conference & Exhibition, 2020, 2020 | | 2020 |
Feng Liu, Liu FengThe University of QueenslandVerified email at itee.uq.edu.au
