The cycle spinning-based sharp frequency localized contourlet transform for image denoising. - Xiaobo Qu 001; Jingwen Yan (ISKE, 2008)

Compressed sensing MRI with combined sparsifying transforms and smoothed l0 norm minimization. - Xiaobo Qu 001; Xue Cao; Di Guo; Changwei Hu; Zhong Chen 005 (ICASSP, 2010)

Sparsity-Based Spatial Interpolation in Wireless Sensor Networks. - Di Guo; Xiaobo Qu 001; Lianfen Huang; Yan Yao (Sensors, 2011)

Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension. - Xiaobo Qu 001; Di Guo; Xue Cao; Shuhui Cai; Zhong Chen 005 (Sensors, 2011)

Sparsity-based online missing sensor data recovery. - Di Guo; Xiaobo Qu 001; Lianfen Huang; Yan Yao; Zicheng Liu 001; Ming-Ting Sun (ISCAS, 2012)

Magnetic resonance image reconstruction using similarities learnt from multi-modal images. - Xiaobo Qu 001; Yingkun Hou; Fan Lam; Di Guo; Zhong Chen 005 (ChinaSIP, 2013)

Multi-focus Image Fusion with Structure-Driven Adaptive Regions. - Xiaobo Qu 001; Lei Li 012; Di Guo (ICIMCS, 2014)

Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation. - Di Guo; Xiaobo Qu 001; Xiaofeng Du; Keshou Wu; Xuhui Chen (Adv. Multim., 2014)

Mathematical Methods in Biomedical Imaging 2014. - Peng Feng 002; Kumar Durai; Fenglin Liu; Xiaobo Qu 001 (Comput. Math. Methods Medicine, 2014)

Parallel Computing of Patch-Based Nonlocal Operator and Its Application in Compressed Sensing MRI. - Qiyue Li; Xiaobo Qu 001; Yunsong Liu; Di Guo; Jing Ye; Zhifang Zhan; Zhong Chen 005 (Comput. Math. Methods Medicine, 2014)

A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images. - Di Guo; Xiaobo Qu 001; Meng Wu; Keshou Wu (J. Appl. Math., 2014)

Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator. - Xiaobo Qu 001; Yingkun Hou; Fan Lam; Di Guo; Jianhui Zhong; Zhong Chen 005 (Medical Image Anal., 2014)

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction. - Jian-Feng Cai 001; Xiaobo Qu 001; Weiyu Xu; Gui-Bo Ye (CoRR, 2015)

A Simple and Fast Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging. - Yunsong Liu; Zhifang Zhan; Jian-Feng Cai 001; Di Guo; Zhong Chen 005; Xiaobo Qu 001 (CoRR, 2015)

Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction. - Zhifang Zhan; Jian-Feng Cai 001; Di Guo; Yunsong Liu; Zhong Chen 005; Xiaobo Qu 001 (CoRR, 2015)

Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform. - Lei Liu 032; Jingwen Yan; Di Guo; Yunsong Liu; Xiaobo Qu 001 (J. Sensors, 2015)

Spread spectrum compressed sensing MRI using chirp radio frequency pulses. - Xiaobo Qu 001; Ying Chen; Xiaoxing Zhuang; Zhiyu Yan; Di Guo; Zhong Chen 005 (ICASSP, 2016)

Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform. - Zongying Lai; Xiaobo Qu 001; Yunsong Liu; Di Guo; Jing Ye; Zhifang Zhan; Zhong Chen 005 (Medical Image Anal., 2016)

Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction. - Zhifang Zhan; Jian-Feng Cai 001; Di Guo; Yunsong Liu; Zhong Chen 005; Xiaobo Qu 001 (IEEE Trans. Biomed. Eng., 2016)

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging. - Yunsong Liu; Zhifang Zhan; Jian-Feng Cai 001; Di Guo; Zhong Chen 005; Xiaobo Qu 001 (IEEE Trans. Medical Imaging, 2016)

A low rank Hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy. - Hengfa Lu; Xinlin Zhang; Tianyu Qiu; Jian Yang; Di Guo; Zhong Chen 005; Xiaobo Qu 001 (EMBC, 2017)

Accelerated magnetic resonance spectroscopy with Vandermonde factorization. - Xiaobo Qu 001; Jiaxi Ying; Jian-Feng Cai 001; Zhong Chen 005 (EMBC, 2017)

A Fast Low Rank Hankel Matrix Factorization Reconstruction Method for Non-Uniformly Sampled Magnetic Resonance Spectroscopy. - Di Guo; Hengfa Lu; Xiaobo Qu 001 (IEEE Access, 2017)

Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity. - Hong Zheng; Xiaobo Qu 001; Zheng-Jian Bai; Yunsong Liu; Di Guo; Jiyang Dong; Xi Peng 004; Zhong Chen 005 (BMC Medical Imaging, 2017)

Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. - Jiaxi Ying; Hengfa Lu; Qingtao Wei; Jian-Feng Cai 001; Di Guo; Jihui Wu; Zhong Chen 005; Xiaobo Qu 001 (IEEE Trans. Signal Process., 2017)

Single Image Super-Resolution With Learning Iteratively Non-Linear Mapping Between Low- and High-Resolution Sparse Representations. - Kun Zeng; Hong Zheng; Yanyun Qu; Xiaobo Qu 001; Lijun Bao; Zhong Chen 005 (ICPR, 2018)

Improved Reconstruction of Low Intensity Magnetic Resonance Spectroscopy With Weighted Low Rank Hankel Matrix Completion. - Di Guo; Xiaobo Qu 001 (IEEE Access, 2018)

Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement. - Hong Zheng; Kun Zeng; Di Guo; Jiaxi Ying; Yu Yang 002; Xi Peng 004; Feng Huang; Zhong Chen 005; Xiaobo Qu 001 (IEEE Access, 2018)

Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform. - Zongying Lai; Xinlin Zhang; Di Guo; Xiaofeng Du; Yonggui Yang; Gang Guo; Zhong Chen 005; Xiaobo Qu 001 (BMC Medical Imaging, 2018)

Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network. - Xiaofeng Du; Xiaobo Qu 001; Yifan He; Di Guo (Sensors, 2018)

Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy. - Hengfa Lu; Xinlin Zhang; Tianyu Qiu; Jian Yang; Jiaxi Ying; Di Guo; Zhong Chen 005; Xiaobo Qu 001 (IEEE Trans. Biomed. Eng., 2018)

Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy. - Jiaxi Ying; Jian-Feng Cai 001; Di Guo; Gongguo Tang; Zhong Chen 005; Xiaobo Qu 001 (IEEE Trans. Signal Process., 2018)

Salt and Pepper Noise Removal with Multi-Class Dictionary Learning and L0 Norm Regularizations. - Di Guo; Zhangren Tu; Jiechao Wang; Min Xiao; Xiaofeng Du; Xiaobo Qu 001 (Algorithms, 2019)

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning. - Xiaobo Qu 001; Yihui Huang; Hengfa Lu; Tianyu Qiu; Di Guo; Vladislav Orekhov; Zhong Chen 005 (CoRR, 2019)

A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging. - Xinlin Zhang; Hengfa Lu; Di Guo; Lijun Bao; Feng Huang; Xiaobo Qu 001 (CoRR, 2019)

pISTA-SENSE-ResNet for Parallel MRI Reconstruction. - Tieyuan Lu; Xinlin Zhang; Yihui Huang; Yonggui Yang; Gang Guo; Lijun Bao; Feng Huang; Di Guo; Xiaobo Qu 001 (CoRR, 2019)

Amplitude Estimation and Source Separation for Harmonics Within Two Mixtures Based on a Min-Rank Criterion. - Yu Yang 002; Hongwei Yao; Jiyang Dong; Xiaobo Qu 001; Zhong Chen 005 (IEEE Trans. Instrum. Meas., 2019)

Preliminary application of 3.0 T magnetic resonance chemical exchange saturation transfer imaging in brain metastasis of lung cancer. - Yonggui Yang; Xiaobo Qu 001; Yihui Huang; Khan Afsar; Gen Yan; Gang Guo; Shaoyin Duan (BMC Medical Imaging, 2020)

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. - Dicheng Chen; Zi Wang 005; Di Guo; Vladislav Orekhov; Xiaobo Qu 001 (CoRR, 2020)

Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices. - Tianyu Qiu; Wenjing Liao; Di Guo; Dongbao Liu; Xin Wang 105; Xiaobo Qu 001 (CoRR, 2020)

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning. - Zi Wang 005; Di Guo; Yihui Huang; Zhangren Tu; Vladislav Orekhov; Xiaobo Qu 001 (CoRR, 2020)

Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI. - Xinlin Zhang; Di Guo; Yiman Huang; Ying Chen; Liansheng Wang; Feng Huang; Qin Xu; Xiaobo Qu 001 (Medical Image Anal., 2020)

Accelerated image reconstruction with separable Hankel regularization in parallel MRI. - Xinlin Zhang; Zi Wang 005; Xi Peng 004; Qin Xu; Di Guo; Xiaobo Qu 001 (EMBC, 2021)

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI. - Yirong Zhou; Chen Qian; Yi Guo; Zi Wang 005; Jian Wang; Biao Qu; Di Guo; Yongfu You; Xiaobo Qu 001 (EMBC, 2021)

A review on deep learning MRI reconstruction without fully sampled k-space. - Gushan Zeng; Yi Guo; Jiaying Zhan; Zi Wang 005; Zongying Lai; Xiaofeng Du; Xiaobo Qu 001; Di Guo (BMC Medical Imaging, 2021)

Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data. - Wanqi Hu; Dicheng Chen; Tianyu Qiu; Hao Chen; Xi Chen; Lin Yang; Gen Yan; Di Guo; Xiaobo Qu 001 (CoRR, 2021)

Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy. - Di Guo; Jiaying Zhan; Yirong Zhou; Zhangren Tu; Zifei Zhang 004; Zhong Chen 005; Xiaobo Qu 001 (IET Signal Process., 2021)

A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy. - Zhangren Tu; Zi Wang 005; Jiaying Zhan; Yihui Huang; Xiaofeng Du; Min Xiao; Xiaobo Qu 001; Di Guo (IET Signal Process., 2021)

A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI. - Xinlin Zhang; Hengfa Lu; Di Guo; Lijun Bao; Feng Huang; Qin Xu; Xiaobo Qu 001 (Medical Image Anal., 2021)

An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model. - Tianyu Qiu; Wenjing Liao; Yihui Huang; Jinyu Wu; Di Guo; Dongbao Liu; Xin Wang 105; Jian-Feng Cai 001; Bingwen Hu; Xiaobo Qu 001 (IEEE Trans. Instrum. Meas., 2021)

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance. - Qinqin Yang; Zi Wang 005; Kunyuan Guo; Congbo Cai; Xiaobo Qu 001 (CoRR, 2022)

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization. - Jian Cao; Chen Qian; Yihui Huang; Dicheng Chen; Yuncheng Gao; Jiyang Dong; Di Guo; Xiaobo Qu 001 (CoRR, 2022)

Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-Enhanced MRI. - Yuhan Hu; Xinlin Zhang; Dicheng Chen; Zhiping Yan; Xiaoyong Shen; Gen Yan; Lin Ou-yang; Jianzhong Lin; Jiyang Dong; Xiaobo Qu 001 (IEEE Trans. Biomed. Eng., 2022)

Accelerated Detection for Low-Field NMR Using Nonuniform Sampling and Improved Reconstruction. - Kaiwen Yao; Enping Lin; Min Liu 027; Xiaobo Qu 001; Yu Yang 002; Kan Song; Junyao Xie; Huijun Sun; Zhong Chen 005 (IEEE Trans. Instrum. Meas., 2022)

Accelerated MRI Reconstruction With Separable and Enhanced Low-Rank Hankel Regularization. - Xinlin Zhang; Hengfa Lu; Di Guo; Zongying Lai; Huihui Ye; Xi Peng 004; Bo Zhao 002; Xiaobo Qu 001 (IEEE Trans. Medical Imaging, 2022)

Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence. - Chen Qian; Zi Wang 005; Xinlin Zhang; Qingrui Cai; Taishan Kang; Boyu Jiang; Ran Tao; Zhigang Wu; Di Guo; Xiaobo Qu 001 (ISBI, 2023)

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding. - Chunyan Xiong; Mengli Lu; Xiaotong Yu; Jian Cao; Zhong Chen 005; Di Guo; Xiaobo Qu 001 (CoRR, 2023)

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal. - Dicheng Chen; Meijin Lin; Huiting Liu; Jiayu Li; Yirong Zhou; Taishan Kang; Liangjie Lin; Zhigang Wu; Jiazheng Wang; Jing Li; Jianzhong Lin; Xi Chen; et al. (CoRR, 2023)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (CoRR, 2023)

A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction. - Min Xiao; Zi Wang 005; Jiefeng Guo; Xiaobo Qu 001 (CoRR, 2023)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. - Chengyan Wang; Jun Lyu; Shuo Wang 011; Chen Qin; Kunyuan Guo; Xinyu Zhang; Xiaotong Yu; Yan Li 064; Fanwen Wang; Jianhua Jin; Zhang Shi; Ziqiang Xu; et al. (CoRR, 2023)

Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence. - Yirong Zhou; Yanhuang Wu; Yuhan Su; Jing Li; Jianyun Cai; Yongfu You; Di Guo; Xiaobo Qu 001 (CoRR, 2023)

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy. - Yi Guo; Jiaying Zhan; Zhangren Tu; Yirong Zhou; Jianfan Wu; Qing Hong; Yuqing Huang; Vladislav Orekhov; Xiaobo Qu 001; Di Guo (Signal Process., 2023)

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data. - Dicheng Chen; Wanqi Hu; Huiting Liu; Yirong Zhou; Tianyu Qiu; Yihui Huang; Zi Wang 005; Meijin Lin; Liangjie Lin; Zhigang Wu; Jiazheng Wang; Hao Chen; et al. (IEEE Trans. Computational Imaging, 2023)

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures. - Di Guo; Zhangren Tu; Yi Guo; Yirong Zhou; Jian Wang; Zi Wang 005; Tianyu Qiu; Min Xiao; Yinran Chen; Liubin Feng; Yuqing Huang; Donghai Lin; et al. (IEEE Trans. Computational Imaging, 2023)

One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI. - Zi Wang 005; Chen Qian; Di Guo; Hongwei Sun; Rushuai Li; Bo Zhao 002; Xiaobo Qu 001 (IEEE Trans. Medical Imaging, 2023)

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence. - Qinqin Yang; Zi Wang 005; Kunyuan Guo; Congbo Cai; Xiaobo Qu 001 (IEEE Signal Process. Mag., 2023)

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization. - Yihui Huang; Jinkui Zhao; Zi Wang 005; Vladislav Orekhov; Di Guo; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy. - Zi Wang 005; Di Guo; Zhangren Tu; Yihui Huang; Yirong Zhou; Jian Wang; Liubin Feng; Donghai Lin; Yongfu You; Tatiana Agback; Vladislav Orekhov; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Evaluation of the diagnostic utility on 1.5T and 3.0T 1H magnetic resonance spectroscopy for temporal lobe epilepsy. - Biao Qu; Hejuan Tan; Min Xiao; Dongbao Liu; Shijin Wang; Yiwen Zhang; Runhan Chen; Gaofeng Zheng; Yonggui Yang; Gen Yan; Xiaobo Qu 001 (BMC Medical Imaging, 2023)

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging. - Chen Qian; Zi Wang 005; Xinlin Zhang; Boxuan Shi; Boyu Jiang; Ran Tao; Jing Li; Yuwei Ge; Taishan Kang; Jianzhong Lin; Di Guo; Xiaobo Qu 001 (IEEE Trans. Biomed. Eng., 2023)

A 1D Plug-and-Play Synthetic Data Deep Learning For Undersampled Magnetic Resonance Image Reconstruction. - Min Xiao; Zi Wang 005; Jiefeng Guo; Di Guo; Xiaobo Qu 001 (ICIP, 2024)

Quantitative analysis of molecular transport in the extracellular space using physics-informed neural network. - Jiayi Xie; Hongfeng Li; Shaoyi Su; Jin Cheng 003; Qingrui Cai; Hanbo Tan; Lingyun Zu; Xiaobo Qu 001; Hongbin Han (Comput. Biol. Medicine, 2024)

Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network. - Jiayi Xie; Hongfeng Li; Jin Cheng 003; Qingrui Cai; Hanbo Tan; Lingyun Zu; Xiaobo Qu 001; Hongbin Han (CoRR, 2024)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI. - Zi Wang 005; Min Xiao; Yirong Zhou; Chengyan Wang; Naiming Wu; Yi Li; Yiwen Gong; Shufu Chang; Yinyin Chen; Liuhong Zhu; Jianjun Zhou; Congbo Cai; et al. (CoRR, 2024)

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI. - Yirong Zhou; Chengyan Wang; Mengtian Lu; Kunyuan Guo; Zi Wang 005; Dan Ruan; Rui Guo; Peijun Zhao; Jianhua Wang; Naiming Wu; Jianzhong Lin; Yinyin Chen; et al. (CoRR, 2024)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

CloudBrain-ReconAI: A Cloud Computing Platform for MRI Reconstruction and Radiologists' Image Quality Evaluation. - Yirong Zhou; Chen Qian; Jiayu Li; Zi Wang 005; Yu Hu; Biao Qu; Liuhong Zhu; Jianjun Zhou; Taishan Kang; Jianzhong Lin; Qing Hong; Jiyang Dong; et al. (IEEE Trans. Cloud Comput., 2024)

CloudBrain-NMR: An Intelligent Cloud-Computing Platform for NMR Spectroscopy Processing, Reconstruction, and Analysis. - Di Guo; Sijin Li; Jun Liu; Zhangren Tu; Tianyu Qiu; Jingjing Xu; Liubin Feng; Donghai Lin; Qing Hong; Meijin Lin; Yanqin Lin; Xiaobo Qu 001 (IEEE Trans. Instrum. Meas., 2024)

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging. - Zi Wang 005; Haoming Fang; Chen Qian; Boxuan Shi; Lijun Bao; Liuhong Zhu; Jianjun Zhou; Wenping Wei; Jianzhong Lin; Di Guo; Xiaobo Qu 001 (IEEE J. Biomed. Health Informatics, 2024)

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal. - Dicheng Chen; Meijin Lin; Huiting Liu; Jiayu Li; Yirong Zhou; Taishan Kang; Liangjie Lin; Zhigang Wu; Jiazheng Wang; Jing Li; Jianzhong Lin; Xi Chen; et al. (IEEE Trans. Biomed. Eng., 2024)

MRI reconstruction with enhanced self-similarity using graph convolutional network. - Qiaoyu Ma; Zongying Lai; Zi Wang 005; Yiran Qiu; Haotian Zhang; Xiaobo Qu 001 (BMC Medical Imaging, 2024)

Physics-informed neural networks for denoising high b-value diffusion-weighted images. - Qiaoling Lin; Fan Yang; Yang Yan; Haoyu Zhang; Qing Xie; Jiaju Zheng; Wenze Yang; Ling Qian; Shaoxing Liu; Weigen Yao; Xiaobo Qu 001 (Comput. Medical Imaging Graph., 2025)

Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging. - Qiaoling Lin; Xuanchu Chen; Boxuan Shi; Chen Qian; Mingyang Han; Liuhong Zhu; Dafa Shi; Xiaoyong Shen; Wanjun Hu; Dan Ruan; Yi Guo; Jianjun Zhou; et al. (Medical Image Anal., 2025)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)

One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (Medical Image Anal., 2025)

Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS. - Runhan Chen; Meijin Lin; Jianshu Chen; Liangjie Lin; Jiazheng Wang; Xiaoqing Li; Jianhua Wang; Xu Huang; Ling Qian; Shaoxing Liu; Yuan Long; Di Guo; et al. (NeuroImage, 2025)

NMR Spectra Denoising With Vandermonde Constraints. - Di Guo; Runmin Xu; Jialue Zhang; Jingxuan Zeng; Tianyu Qiu; Jinyu Wu; Meijin Lin; Xiaofeng Du; Xiaobo Qu 001 (IEEE Trans. Instrum. Meas., 2025)

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks With Soft-Thresholding. - Chunyan Xiong; Chaoxing Zhang; Mengli Lu; Xiaotong Yu; Jian Cao; Zhong Chen 005; Di Guo; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS. - Meijin Lin; Lin Guo; Dicheng Chen; Jianshu Chen; Zhangren Tu; Xu Huang; Jianhua Wang; Ji Qi; Yuan Long; Zhiguo Huang; Di Guo; Xiaobo Qu 001; et al. (CoRR, 2025)