Dynamic MRI using spatiotemporal modeling with phased array coils. - Dan Xu; Leslie Ying; Zhi-Pei Liang (ISBI, 2006)

Joint estimation of image and coil sensitivities in parallel MRI. - Leslie Ying; Jinhua Sheng; Bo Liu (ISBI, 2006)

Regularized Sense Reconstruction Using Iteratively Refined Total Variation Method. - Bo Liu; Leslie Ying; Michael Steckner; Jun Xie; Jinhua Sheng (ISBI, 2007)

Joint Estimation of Image and Coil Sensitivities in Parallel Spiral MRI. - Jinhua Sheng; Leslie Ying; Erik Wiener; Bo Liu (ISBI, 2007)

Improved spiral sense reconstruction using a multiscale wavelet model. - Bo Liu; Emad Abdelsalam; Jinhua Sheng; Leslie Ying (ISBI, 2008)

A variable projection approach to parallel magnetic resonance imaging. - Jinhua Sheng; Leslie Ying (ISBI, 2008)

Toeplitz Block Matrices in Compressed Sensing - Florian M. Sebert; Leslie Ying; Yi Ming Zou (CoRR, 2008)

Beamlet transform based technique for pavement image processing and classification. - Leslie Ying; Ezzatollah Salari (EIT, 2009)

Linear transformations and Restricted Isometry Property. - Leslie Ying; Yi Ming Zou (ICASSP, 2009)

Ultrasound Image De-Noising Through Karhunen-Loeve (K-L) Transform with Overlapping Segments. - Jawad Al-Asad; Alireza Moghaddamjoo; Leslie Ying (ISBI, 2009)

Toeplitz Random Encoding MR Imaging Using Compressed Sensing. - Dong Liang 001; Guangwu Xu; Haifeng Wang 003; Kevin F. King; Dan Xu; Leslie Ying (ISBI, 2009)

Compressed-sensing Photoacoustic Imaging based on random optical illumination. - Dong Liang 001; Hao F. Zhang; Leslie Ying (Int. J. Funct. Informatics Pers. Medicine, 2009)

Image reconstruction from phased-array MRI data based on multichannel blind deconvolution. - Huajun She; Rang-Rang Chen; Dong Liang 001; Yuchou Chang; Leslie Ying (ISBI, 2010)

Beamlet Transform-Based Technique for Pavement Crack Detection and Classification. - Leslie Ying; Ezzatollah Salari (Comput. Aided Civ. Infrastructure Eng., 2010)

Parallel MRI Using Phased Array Coils. - Leslie Ying; Zhi-Pei Liang (IEEE Signal Process. Mag., 2010)

Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging. - Christopher A. Baker; Kevin F. King; Dong Liang 001; Leslie Ying (ISBI, 2011)

A kernel approach to parallel MRI reconstruction. - Yuchou Chang; Dong Liang 001; Leslie Ying (ISBI, 2011)

K-T ISD: Compressed sensing with iterative support detection for dynamic MRI. - Dong Liang 001; Edward V. R. Di Bella; Rong-Rong Chen; Leslie Ying (ISBI, 2011)

A kernel approach to compressed sensing parallel MRI. - Yuchou Chang; Kevin F. King; Dong Liang 001; Yong Wang; Leslie Ying (ISBI, 2012)

Simultaneous image reconstruction and sensitivity estimation in parallel MRI using blind compressed sensing. - Huajun She; Rong-Rong Chen; Dong Liang 001; Edward V. R. Di Bella; Leslie Ying (ISBI, 2012)

A hybrid total-variation minimization approach to compressed sensing. - Yong Wang; Dong Liang 001; Yuchou Chang; Leslie Ying (ISBI, 2012)

Three-dimensional hybrid-encoded MRI using compressed sensing. - Haifeng Wang 003; Dong Liang 001; Kevin F. King; Leslie Ying (ISBI, 2012)

k-t CSPI: A dynamic MRI reconstruction framework for combining compressed sensing and parallel imaging. - Yihang Zhou; Yuchou Chang; Dong Liang 001; Leslie Ying (ISBI, 2012)

A model-based method with joint sparsity constraint for direct diffusion tensor estimation. - Yanjie Zhu; Yin Wu; Yuanjie Zheng; Ed X. Wu; Leslie Ying; Dong Liang 001 (ISBI, 2012)

Noise behavior of MR brain reconstructions using compressed sensing. - Yuqiong Ding; Leslie Ying; Na Zhang 001; Dong Liang 001 (EMBC, 2013)

An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering. - Qiegen Liu; Leslie Ying; Dong Liang 001 (ICASSP, 2013)

Efficient GRAPPA reconstruction using random projection. - Jingyuan Lyu; Yuchou Chang; Leslie Ying (ISBI, 2013)

Undersampled dynamic magnetic resonance imaging using patch-based spatiotemporal dictionaries. - Yanhua Wang; Yihang Zhou; Leslie Ying (ISBI, 2013)

A kernel-based compressed sensing approach to dynamic MRI from highly undersampled data. - Yihang Zhou; Yanhua Wang; Leslie Ying (ISBI, 2013)

Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery. - Qiegen Liu; Shanshan Wang 002; Leslie Ying; Xi Peng 004; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Image Process., 2013)

Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. - Huajun She; Rong-Rong Chen; Edward V. R. DiBella; Matthias Schabel; Leslie Ying (EMBC, 2014)

Undersampled dynamic magnetic resonance imaging using kernel principal component analysis. - Yanhua Wang; Leslie Ying (EMBC, 2014)

Accurate T2 mapping with sparsity and linear predictability filtering. - Xi Peng 004; Leslie Ying; Xin Liu 053; Dong Liang 001 (ISBI, 2014)

Sparsity-based PET image reconstruction using MRI learned dictionaries. - Jing Tang 005; Yanhua Wang; Rutao Yao; Leslie Ying (ISBI, 2014)

Compressed Sensing Dynamic Cardiac Cine MRI Using Learned Spatiotemporal Dictionary. - Yanhua Wang; Leslie Ying (IEEE Trans. Biomed. Eng., 2014)

Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D). - Ukash Nakarmi; Yanhua Wang; Jingyuan Lyu; Leslie Ying (ISBI, 2015)

Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping. - Chao Shi; Yihang Zhou; Yanhua Wang; Jingyuan Lyu; Dong Liang 001; Leslie Ying (ISBI, 2015)

Parallel imaging via sparse representation over a learned dictionary. - Shanshan Wang 002; Xi Peng 004; Pei Dong; Leslie Ying; David Dagan Feng; Dong Liang 001 (ISBI, 2015)

Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging. - Yihang Zhou; Chao Shi; Fuquan Ren; Jingyuan Lyu; Dong Liang 001; Leslie Ying (ISBI, 2015)

Initial testing of a 3D printed perfusion phantom using digital subtraction angiography. - Rachel P. Wood; Parag Khobragade; Leslie Ying; Kenneth V. Snyder; David S. Wack; Daniel R. Bednarek; Stephen Rudin; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Guest Editorial EMBC 2014. - Walter G. Besio; Leslie Ying; Jie Liang 002; Nigel H. Lovell; Carmen C. Y. Poon; May D. Wang (IEEE J. Biomed. Health Informatics, 2015)

Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding. - Ukash Nakarmi; Yihang Zhou; Jingyuan Lyu; Konstantinos Slavakis; Leslie Ying (ISBI, 2016)

Accelerating magnetic resonance imaging via deep learning. - Shanshan Wang 002; Zhenghang Su; Leslie Ying; Xi Peng 004; Shun Zhu; Feng Liang; Dagan Feng 001; Dong Liang 001 (ISBI, 2016)

Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery. - Konstantinos Slavakis; Gaurav N. Shetty; Abhishek Bose; Ukash Nakarmi; Leslie Ying (CAMSAP, 2017)

M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging. - Ukash Nakarmi; Konstantinos Slavakis; Jingyuan Lyu; Leslie Ying (ISBI, 2017)

Enhancing Bayesian PET image reconstruction using neural networks. - Bao Yang; Leslie Ying; Jing Tang 005 (ISBI, 2017)

A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI. - Ukash Nakarmi; Yanhua Wang; Jingyuan Lyu; Dong Liang 001; Leslie Ying (IEEE Trans. Medical Imaging, 2017)

SecSAKE: Towards Secure and Efficient Outsourcing of Clinical MRI Reconstruction. - Zihao Shan; Zhan Qin; Leslie Ying; Kui Ren 001 (AsiaCCS, 2018)

Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errors. - S. K. HashemizadehKolowri; Rong-Rong Chen; Edward V. R. DiBella; Edward W. Hsu; Leslie Ying; Ganesh Adluru (ISBI, 2018)

MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging. - Ukash Nakarmi; Konstantinos Slavakis; Leslie Ying (ISBI, 2018)

DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. - Shanshan Wang 002; Ziwen Ke; Huitao Cheng; Sen Jia 005; Leslie Ying; Hairong Zheng; Dong Liang 001 (CoRR, 2018)

Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. - Shanshan Wang 002; Sha Tan; Yuan Gao; Qiegen Liu; Leslie Ying; Taohui Xiao; Yuanyuan Liu; Xin Liu 053; Hairong Zheng; Dong Liang 001 (IEEE Trans. Medical Imaging, 2018)

Artificial Neural Network Enhanced Bayesian PET Image Reconstruction. - Bao Yang; Leslie Ying; Jing Tang 005 (IEEE Trans. Medical Imaging, 2018)

Accelerating MR Imaging via Deep Chambolle-Pock Network. - Haifeng Wang 003; Jing Cheng; Sen Jia 005; Zhilang Qiu; Caiyun Shi; Lixian Zou; Shi Su; Yuchou Chang; Yanjie Zhu; Leslie Ying; Dong Liang 001 (EMBC, 2019)

Accelerated 3D Localization Microscopy Using Blind Sparse Inpainting. - Sunil Kumar Gaire; Chaoyi Zhang; Hongyu Li; Peizhou Huang; Ruiying Liu; Haifeng Wang 003; Dong Liang 001; Leslie Ying (ISBI, 2019)

Fast Calculation Method of Average G-Factor for Wave-CAIPI Imaging. - Haifeng Wang 003; Zhilang Qiu; Shi Su; Leslie Ying; Dong Liang 001 (ISBI, 2019)

Model Learning: Primal Dual Networks for Fast MR Imaging. - Jing Cheng; Haifeng Wang 003; Leslie Ying; Dong Liang 001 (MICCAI (3), 2019)

CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. - Ziwen Ke; Shanshan Wang 002; Huitao Cheng; Leslie Ying; Qiegen Liu; Hairong Zheng; Dong Liang 001 (CoRR, 2019)

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. - Shanshan Wang 002; Huitao Cheng; Leslie Ying; Taohui Xiao; Ziwen Ke; Xin Liu 053; Hairong Zheng; Dong Liang 001 (CoRR, 2019)

Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning. - Jing Cheng; Haifeng Wang 003; Yanjie Zhu; Qiegen Liu; Hairong Zheng; Leslie Ying; Dong Liang 001 (CoRR, 2019)

Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks. - Dong Liang 001; Jing Cheng; Ziwen Ke; Leslie Ying (CoRR, 2019)

An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling. - Yanjie Zhu; Ziwen Ke; Jing Cheng; Sen Jia 005; Yuanyuan Liu; Haifeng Wang 003; Leslie Ying; Xin Liu 053; Hairong Zheng; Dong Liang 001 (CoRR, 2019)

KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction. - Jingyuan Lyu; Ukash Nakarmi; Dong Liang 001; Jinhua Sheng; Leslie Ying (IEEE Trans. Medical Imaging, 2019)

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. - Gaurav N. Shetty; Konstantinos Slavakis; Ukash Nakarmi; Gesualdo Scutari; Leslie Ying (EUSIPCO, 2020)

Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. - Xiangshun Liu; Minghui Zhang; Qiegen Liu; Taohui Xiao; Hairong Zheng; Leslie Ying; Shanshan Wang 002 (ISBI, 2020)

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. - Ukash Nakarmi; Joseph Y. Cheng; Edgar P. Rios; Morteza Mardani; John M. Pauly; Leslie Ying; Shreyas S. Vasanawala (ISBI, 2020)

A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography. - Huijuan Zhang; Hongyu Li; Nikhila Nyayapathi; Depeng Wang; Alisa Le; Leslie Ying; Jun Xia 005 (Comput. Medical Imaging Graph., 2020)

Deep Learning for Highly Accelerated Diffusion Tensor Imaging. - Hongyu Li; Zifei Liang; Chaoyi Zhang; Ruiying Liu; Jing Li; Weihong Zhang; Dong Liang 001; Bowen Shen; Xiaoliang Zhang 001; Yulin Ge; Jiangyang Zhang; Leslie Ying (CoRR, 2020)

Deep Low-rank Prior in Dynamic MR Imaging. - Ziwen Ke; Wenqi Huang 003; Jing Cheng; Sen Jia 005; Haifeng Wang 003; Xin Liu 053; Hairong Zheng; Leslie Ying; Yanjie Zhu; Dong Liang 001 (CoRR, 2020)

Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method. - Chaoyi Zhang; Tanzil Mahmud Arefin; Ukash Nakarmi; Choong-Heon Lee; Hongyu Li; Dong Liang 001; Jiangyang Zhang; Leslie Ying (NeuroImage, 2020)

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. - Mathews Jacob; Jong Chul Ye; Leslie Ying; Mariya Doneva (IEEE Signal Process. Mag., 2020)

Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks. - Dong Liang 001; Jing Cheng; Ziwen Ke; Leslie Ying (IEEE Signal Process. Mag., 2020)

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. - Gaurav N. Shetty; Konstantinos Slavakis; Abhishek Bose; Ukash Nakarmi; Gesualdo Scutari; Leslie Ying (IEEE Trans. Medical Imaging, 2020)

Deep Manifold Learning for Dynamic MR Imaging. - Ziwen Ke; Zhuoxu Cui; Wenqi Huang 003; Jing Cheng; Sen Jia 005; Haifeng Wang 003; Xin Liu 053; Hairong Zheng; Leslie Ying; Yanjie Zhu; Dong Liang 001 (CoRR, 2021)

Deep low-Rank plus sparse network for dynamic MR imaging. - Wenqi Huang 003; Ziwen Ke; Zhuoxu Cui; Jing Cheng; Zhilang Qiu; Sen Jia 005; Leslie Ying; Yanjie Zhu; Dong Liang 001 (Medical Image Anal., 2021)

Deep Manifold Learning for Dynamic MR Imaging. - Ziwen Ke; Zhuo-Xu Cui; Wenqi Huang 003; Jing Cheng; Sen Jia 005; Leslie Ying; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Computational Imaging, 2021)

Learning Data Consistency and its Application to Dynamic MR Imaging. - Jing Cheng; Zhuo-Xu Cui; Wenqi Huang 003; Ziwen Ke; Leslie Ying; Haifeng Wang 003; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Medical Imaging, 2021)

Learned Low-Rank Priors in Dynamic MR Imaging. - Ziwen Ke; Wenqi Huang 003; Zhuo-Xu Cui; Jing Cheng; Sen Jia 005; Haifeng Wang 003; Xin Liu 053; Hairong Zheng; Leslie Ying; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Medical Imaging, 2021)

Unsupervised Deep Unrolled Reconstruction Using Regularization by Denoising. - Peizhou Huang; Chaoyi Zhang; Xiaoliang Zhang 001; Xiaojuan Li; Dong Liang 001; Leslie Ying (CoRR, 2022)

Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging. - Yihang Zhou; Haifeng Wang 003; Yuanyuan Liu; Dong Liang 001; Leslie Ying (IEEE Trans. Biomed. Eng., 2022)

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. - Konstantinos Slavakis; Gaurav N. Shetty; Loris Cannelli; Gesualdo Scutari; Ukash Nakarmi; Leslie Ying (IEEE Trans. Computational Imaging, 2022)

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Nazik Elsayed; Leslie Ying; Hairong Zheng; Shanshan Wang 002 (ISBI, 2023)

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks. - Yanjie Zhu; Jing Cheng; Zhuo-Xu Cui; Qingyong Zhu; Leslie Ying; Dong Liang 001 (IEEE Signal Process. Mag., 2023)

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. - Zhuo-Xu Cui; Sen Jia 005; Jing Cheng; Qingyong Zhu; Yuanyuan Liu; Kankan Zhao; Ziwen Ke; Wenqi Huang 003; Haifeng Wang 003; Yanjie Zhu; Leslie Ying; Dong Liang 001 (IEEE Trans. Medical Imaging, 2023)

Subspace Model-Assisted Deep Learning for Improved Image Reconstruction. - Yue Guan; Yudu Li; Ruihao Liu; Ziyu Meng; Yao Li 010; Leslie Ying; Yiping P. Du; Zhi-Pei Liang (IEEE Trans. Medical Imaging, 2023)

Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising. - Peizhou Huang; Chaoyi Zhang; Xiaoliang Zhang 001; Xiaojuan Li; Dong Liang 001; Leslie Ying (IEEE Trans. Medical Imaging, 2024)

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. - Kasra Borazjani; Naji Khosravan; Leslie Ying; Seyyedali Hosseinalipour (IEEE Trans. Medical Imaging, 2025)