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2020 – today
- 2024
[j4]Yang Gao
, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun:
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. 94: 103160 (2024)- [j3]Shanshan Shan, Yang Gao, David Waddington, Hongli Chen, Brendan Whelan, Paul Liu, Yaohui Wang, Chunyi Liu, Hongping Gan, Mingyuan Gao, Feng Liu:
Image Reconstruction With B₀ Inhomogeneity Using a Deep Unrolled Network on an Open-Bore MRI-Linac. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [i1]Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao:
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. CoRR abs/2406.12300 (2024) - 2021
- [b1]Shanshan Shan:
Correction of magnetic resonance image distortion due to gradient nonlinearity in the Australian MRI-Linac system. University of Queensland, Australia, 2021 - 2020
- [j2]Hongping Gan, Song Xiao, Zhimin Zhang, Shanshan Shan, Yang Gao:
Chaotic Compressive Sampling Matrix: Where Sensing Architecture Meets Sinusoidal Iterator. Circuits Syst. Signal Process. 39(3): 1581-1602 (2020)
2010 – 2019
- 2019
- [j1]Shanshan Shan, Mingyan Li, Fangfang Tang, Huan Ma, Feng Liu, Stuart Crozier:
Gradient Field Deviation (GFD) Correction Using a Hybrid-Norm Approach With Wavelet Sub-Band Dependent Regularization: Implementation for Radial MRI at 9.4 T. IEEE Trans. Biomed. Eng. 66(9): 2693-2701 (2019)
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