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2020 – today
- 2024
[c2]Shoujin Huang
, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu:
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. MICCAI (7) 2024: 498-508- [i8]Shoujin Huang, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu:
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. CoRR abs/2403.05245 (2024) - [i7]Guanxiong Luo, Shoujin Huang, Martin Uecker:
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI. CoRR abs/2405.14327 (2024) - [i6]Shoujin Huang, Guanxiong Luo, Yuwan Wang, Kexin Yang, Lingyan Zhang, Jingzhe Liu, Hua Guo, Min Wang, Mengye Lyu:
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors. CoRR abs/2407.21600 (2024) - 2023
- [b1]Guanxiong Luo:
Development of Advanced Generative Priors for MRI Reconstruction. Göttingen University, Germany, 2023 - [c1]Guanxiong Luo, Mengmeng Kuang, Peng Cao:
Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. AIME 2023: 239-244 - [i5]Guanxiong Luo, Xiaoqing Wang, Moritz Blumenthal, Martin Schilling, Erik Hans Ulrich Rauf, Raviteja Kotikalapudi, Niels K. Focke, Martin Uecker:
Generative Image Priors for MRI Reconstruction Trained from Magnitude-Only Images. CoRR abs/2308.02340 (2023) - 2022
- [i4]Guanxiong Luo, Martin Heide, Martin Uecker:
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation. CoRR abs/2202.01479 (2022) - [i3]Moritz Blumenthal, Guanxiong Luo, Martin Schilling, H. Christian M. Holme, Martin Uecker:
Deep, Deep Learning with BART. CoRR abs/2202.14005 (2022) - [i2]Guanxiong Luo, Mengmeng Kuang, Peng Cao:
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction. CoRR abs/2211.16881 (2022)
2010 – 2019
- 2019
- [i1]Guanxiong Luo, Na Zhao, Wenhao Jiang, Peng Cao:
MRI Reconstruction Using Deep Bayesian Inference. CoRR abs/1909.01127 (2019)
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