MRI Reconstruction Using Deep Bayesian Inference. - Guanxiong Luo; Na Zhao; Wenhao Jiang; Peng Cao (CoRR, 2019)

MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation. - Guanxiong Luo; Martin Heide; Martin Uecker (CoRR, 2022)

Deep, Deep Learning with BART. - Moritz Blumenthal; Guanxiong Luo; Martin Schilling; H. Christian M. Holme; Martin Uecker (CoRR, 2022)

Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. - Guanxiong Luo; Mengmeng Kuang; Peng Cao (AIME, 2023)

Generative Image Priors for MRI Reconstruction Trained from Magnitude-Only Images. - Guanxiong Luo; Xiaoqing Wang; Moritz Blumenthal; Martin Schilling; Erik Hans Ulrich Rauf; Raviteja Kotikalapudi; Niels K. Focke; Martin Uecker (CoRR, 2023)

Development of Advanced Generative Priors for MRI Reconstruction - Guanxiong Luo (2023)

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. - Shoujin Huang; Guanxiong Luo; Xi Wang 013; Ziran Chen; Yuwan Wang; Huaishui Yang; Pheng-Ann Heng; Lingyan Zhang; Mengye Lyu (MICCAI (7), 2024)

Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI. - Guanxiong Luo; Shoujin Huang; Martin Uecker (NeurIPS, 2024)

Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors. - Shoujin Huang; Guanxiong Luo; Yuwan Wang; Kexin Yang; Lingyan Zhang; Jingzhe Liu; Hua Guo; Min Wang; Mengye Lyu (CoRR, 2024)

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior. - Yanlong Yang; Jianan Liu; Guanxiong Luo; Hao Li 034; Euijoon Ahn; Mostafa Rahimi Azghadi; Tao Huang 008 (CoRR, 2025)