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2020 – today
- 2024
[j25]Peizhou Huang
, Chaoyi Zhang, Xiaoliang Zhang, Xiaojuan Li, Dong Liang, Leslie Ying:
Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising. IEEE Trans. Medical Imaging 43(3): 1203-1213 (2024)- [i16]Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour:
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities. CoRR abs/2401.03609 (2024) - 2023
- [j24]Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang:
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks. IEEE Signal Process. Mag. 40(2): 116-128 (2023) - [j23]Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Trans. Medical Imaging 42(12): 3540-3554 (2023) - [j22]Yue Guan, Yudu Li, Ruihao Liu, Ziyu Meng, Yao Li, Leslie Ying, Yiping P. Du, Zhi-Pei Liang:
Subspace Model-Assisted Deep Learning for Improved Image Reconstruction. IEEE Trans. Medical Imaging 42(12): 3833-3846 (2023) - [c50]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. ISBI 2023: 1-4 - 2022
- [j21]Yihang Zhou, Haifeng Wang, Yuanyuan Liu, Dong Liang, Leslie Ying:
Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging. IEEE Trans. Biomed. Eng. 69(10): 2996-3007 (2022) - [j20]Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying:
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. IEEE Trans. Computational Imaging 8: 133-147 (2022) - [i15]Peizhou Huang, Chaoyi Zhang, Xiaoliang Zhang, Xiaojuan Li, Dong Liang, Leslie Ying:
Unsupervised Deep Unrolled Reconstruction Using Regularization by Denoising. CoRR abs/2205.03519 (2022) - 2021
- [j19]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep low-Rank plus sparse network for dynamic MR imaging. Medical Image Anal. 73: 102190 (2021) - [j18]Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. IEEE Trans. Computational Imaging 7: 1314-1327 (2021) - [j17]Jing Cheng, Zhuo-Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang:
Learning Data Consistency and its Application to Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(11): 3140-3153 (2021) - [j16]Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(12): 3698-3710 (2021) - [i14]Ziwen Ke, Zhuoxu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. CoRR abs/2104.01102 (2021) - 2020
- [j15]Huijuan Zhang, Hongyu Li, Nikhila Nyayapathi, Depeng Wang, Alisa Le, Leslie Ying, Jun Xia:
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography. Comput. Medical Imaging Graph. 84: 101720 (2020) - [j14]Chaoyi Zhang, Tanzil Mahmud Arefin, Ukash Nakarmi, Choong-Heon Lee, Hongyu Li, Dong Liang, Jiangyang Zhang, Leslie Ying:
Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method. NeuroImage 210: 116584 (2020) - [j13]Mathews Jacob, Jong Chul Ye, Leslie Ying, Mariya Doneva:
Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. IEEE Signal Process. Mag. 37(1): 21-23 (2020) - [j12]Dong Liang, Jing Cheng, Ziwen Ke, Leslie Ying:
Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks. IEEE Signal Process. Mag. 37(1): 141-151 (2020) - [j11]Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. IEEE Trans. Medical Imaging 39(3): 688-702 (2020) - [c49]Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. EUSIPCO 2020: 1482-1486 - [c48]Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang:
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. ISBI 2020: 1-5 - [c47]Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala:
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI 2020: 1056-1059 - [i13]Hongyu Li, Zifei Liang, Chaoyi Zhang, Ruiying Liu, Jing Li, Weihong Zhang, Dong Liang, Bowen Shen, Xiaoliang Zhang, Yulin Ge, Jiangyang Zhang, Leslie Ying:
Deep Learning for Highly Accelerated Diffusion Tensor Imaging. CoRR abs/2002.01031 (2020) - [i12]Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. CoRR abs/2002.11885 (2020) - [i11]Ziwen Ke, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Low-rank Prior in Dynamic MR Imaging. CoRR abs/2006.12090 (2020)
2010 – 2019
- 2019
- [j10]Jingyuan Lyu, Ukash Nakarmi, Dong Liang, Jinhua Sheng, Leslie Ying:
KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction. IEEE Trans. Medical Imaging 38(1): 312-321 (2019) - [c46]Haifeng Wang, Jing Cheng, Sen Jia, Zhilang Qiu, Caiyun Shi, Lixian Zou, Shi Su, Yuchou Chang, Yanjie Zhu, Leslie Ying, Dong Liang:
Accelerating MR Imaging via Deep Chambolle-Pock Network. EMBC 2019: 6818-6821 - [c45]Sunil Kumar Gaire, Chaoyi Zhang, Hongyu Li, Peizhou Huang, Ruiying Liu, Haifeng Wang, Dong Liang, Leslie Ying:
Accelerated 3D Localization Microscopy Using Blind Sparse Inpainting. ISBI 2019: 526-529 - [c44]Haifeng Wang, Zhilang Qiu, Shi Su, Leslie Ying, Dong Liang:
Fast Calculation Method of Average G-Factor for Wave-CAIPI Imaging. ISBI 2019: 1656-1659 - [c43]Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang:
Model Learning: Primal Dual Networks for Fast MR Imaging. MICCAI (3) 2019: 21-29 - [i10]Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang:
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. CoRR abs/1901.06111 (2019) - [i9]Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang:
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. CoRR abs/1906.04359 (2019) - [i8]Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Hairong Zheng, Leslie Ying, Dong Liang:
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning. CoRR abs/1906.08143 (2019) - [i7]Dong Liang, Jing Cheng, Ziwen Ke, Leslie Ying:
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks. CoRR abs/1907.11711 (2019) - [i6]Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang:
Model Learning: Primal Dual Networks for Fast MR imaging. CoRR abs/1908.02426 (2019) - [i5]Yanjie Zhu, Ziwen Ke, Jing Cheng, Sen Jia, Yuanyuan Liu, Haifeng Wang, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang:
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling. CoRR abs/1912.12177 (2019) - 2018
- [j9]Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang:
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Trans. Medical Imaging 37(1): 251-261 (2018) - [j8]Bao Yang, Leslie Ying, Jing Tang:
Artificial Neural Network Enhanced Bayesian PET Image Reconstruction. IEEE Trans. Medical Imaging 37(6): 1297-1309 (2018) - [c42]Zihao Shan, Zhan Qin, Leslie Ying, Kui Ren:
SecSAKE: Towards Secure and Efficient Outsourcing of Clinical MRI Reconstruction. AsiaCCS 2018: 537-550 - [c41]S. K. HashemizadehKolowri, Rong-Rong Chen, Edward V. R. DiBella, Edward W. Hsu, Leslie Ying, Ganesh Adluru:
Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errors. ISBI 2018: 667-670 - [c40]Ukash Nakarmi, Konstantinos Slavakis, Leslie Ying:
MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging. ISBI 2018: 1213-1216 - [i4]Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang:
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. CoRR abs/1810.00302 (2018) - [i3]Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Leslie Ying, Gesualdo Scutari:
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. CoRR abs/1812.10617 (2018) - 2017
- [j7]Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying:
A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI. IEEE Trans. Medical Imaging 36(11): 2297-2307 (2017) - [c39]Konstantinos Slavakis, Gaurav N. Shetty, Abhishek Bose, Ukash Nakarmi, Leslie Ying:
Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery. CAMSAP 2017: 1-5 - [c38]Ukash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, Leslie Ying:
M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging. ISBI 2017: 19-22 - [c37]Bao Yang, Leslie Ying, Jing Tang:
Enhancing Bayesian PET image reconstruction using neural networks. ISBI 2017: 1181-1184 - 2016
- [c36]Ukash Nakarmi, Yihang Zhou, Jingyuan Lyu, Konstantinos Slavakis, Leslie Ying:
Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding. ISBI 2016: 510-513 - [c35]Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, Dong Liang:
Accelerating magnetic resonance imaging via deep learning. ISBI 2016: 514-517 - 2015
- [j6]Walter G. Besio, Leslie Ying, Jie Liang, Nigel H. Lovell, Carmen C. Y. Poon, May D. Wang:
Guest Editorial EMBC 2014. IEEE J. Biomed. Health Informatics 19(4): 1291-1292 (2015) - [c34]Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu, Leslie Ying:
Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D). ISBI 2015: 331-334 - [c33]Shanshan Wang, Xi Peng, Pei Dong, Leslie Ying, David Dagan Feng, Dong Liang:
Parallel imaging via sparse representation over a learned dictionary. ISBI 2015: 687-690 - [c32]Yihang Zhou, Chao Shi, Fuquan Ren, Jingyuan Lyu, Dong Liang, Leslie Ying:
Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging. ISBI 2015: 897-900 - [c31]Chao Shi, Yihang Zhou, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying:
Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping. ISBI 2015: 901-904 - [c30]Rachel P. Wood, Parag Khobragade, Leslie Ying, Kenneth V. Snyder, David S. Wack, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita:
Initial testing of a 3D printed perfusion phantom using digital subtraction angiography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94170V - 2014
- [j5]Yanhua Wang, Leslie Ying:
Compressed Sensing Dynamic Cardiac Cine MRI Using Learned Spatiotemporal Dictionary. IEEE Trans. Biomed. Eng. 61(4): 1109-1120 (2014) - [c29]Yanhua Wang, Leslie Ying:
Undersampled dynamic magnetic resonance imaging using kernel principal component analysis. EMBC 2014: 1533-1536 - [c28]Huajun She, Rong-Rong Chen, Edward V. R. DiBella, Matthias Schabel, Leslie Ying:
Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. EMBC 2014: 2408-2411 - [c27]Xi Peng, Leslie Ying, Xin Liu, Dong Liang:
Accurate T2 mapping with sparsity and linear predictability filtering. ISBI 2014: 161-164 - [c26]Jing Tang, Yanhua Wang, Rutao Yao, Leslie Ying:
Sparsity-based PET image reconstruction using MRI learned dictionaries. ISBI 2014: 1087-1090 - 2013
- [j4]Qiegen Liu, Shanshan Wang, Leslie Ying, Xi Peng, Yanjie Zhu, Dong Liang:
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery. IEEE Trans. Image Process. 22(12): 4652-4663 (2013) - [c25]Yuqiong Ding, Leslie Ying, Na Zhang, Dong Liang:
Noise behavior of MR brain reconstructions using compressed sensing. EMBC 2013: 5155-5158 - [c24]Qiegen Liu, Leslie Ying, Dong Liang:
An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering. ICASSP 2013: 1656-1660 - [c23]Yanhua Wang, Yihang Zhou, Leslie Ying:
Undersampled dynamic magnetic resonance imaging using patch-based spatiotemporal dictionaries. ISBI 2013: 294-297 - [c22]Yihang Zhou, Yanhua Wang, Leslie Ying:
A kernel-based compressed sensing approach to dynamic MRI from highly undersampled data. ISBI 2013: 310-313 - [c21]Jingyuan Lyu, Yuchou Chang, Leslie Ying:
Efficient GRAPPA reconstruction using random projection. ISBI 2013: 700-703 - 2012
- [c20]Yong Wang, Dong Liang, Yuchou Chang, Leslie Ying:
A hybrid total-variation minimization approach to compressed sensing. ISBI 2012: 74-77 - [c19]Yuchou Chang, Kevin F. King, Dong Liang, Yong Wang, Leslie Ying:
A kernel approach to compressed sensing parallel MRI. ISBI 2012: 78-81 - [c18]Haifeng Wang, Dong Liang, Kevin F. King, Leslie Ying:
Three-dimensional hybrid-encoded MRI using compressed sensing. ISBI 2012: 398-401 - [c17]Yihang Zhou, Yuchou Chang, Dong Liang, Leslie Ying:
k-t CSPI: A dynamic MRI reconstruction framework for combining compressed sensing and parallel imaging. ISBI 2012: 410-413 - [c16]Yanjie Zhu, Yin Wu, Yuanjie Zheng, Ed X. Wu, Leslie Ying, Dong Liang:
A model-based method with joint sparsity constraint for direct diffusion tensor estimation. ISBI 2012: 510-513 - [c15]Huajun She, Rong-Rong Chen, Dong Liang, Edward V. R. Di Bella, Leslie Ying:
Simultaneous image reconstruction and sensitivity estimation in parallel MRI using blind compressed sensing. ISBI 2012: 876-879 - 2011
- [c14]Yuchou Chang, Dong Liang, Leslie Ying:
A kernel approach to parallel MRI reconstruction. ISBI 2011: 389-392 - [c13]Dong Liang, Edward V. R. Di Bella, Rong-Rong Chen, Leslie Ying:
K-T ISD: Compressed sensing with iterative support detection for dynamic MRI. ISBI 2011: 1264-1267 - [c12]Christopher A. Baker, Kevin F. King, Dong Liang, Leslie Ying:
Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging. ISBI 2011: 1602-1605 - 2010
- [j3]Leslie Ying, Ezzatollah Salari:
Beamlet Transform-Based Technique for Pavement Crack Detection and Classification. Comput. Aided Civ. Infrastructure Eng. 25(8): 572-580 (2010) - [j2]Leslie Ying, Zhi-Pei Liang:
Parallel MRI Using Phased Array Coils. IEEE Signal Process. Mag. 27(4): 90-98 (2010) - [c11]Huajun She, Rang-Rang Chen, Dong Liang, Yuchou Chang, Leslie Ying:
Image reconstruction from phased-array MRI data based on multichannel blind deconvolution. ISBI 2010: 760-763
2000 – 2009
- 2009
- [j1]Dong Liang, Hao F. Zhang, Leslie Ying:
Compressed-sensing Photoacoustic Imaging based on random optical illumination. Int. J. Funct. Informatics Pers. Medicine 2(4): 394-406 (2009) - [c10]Leslie Ying, Ezzatollah Salari:
Beamlet transform based technique for pavement image processing and classification. EIT 2009: 141-145 - [c9]Leslie Ying, Yi Ming Zou:
Linear transformations and Restricted Isometry Property. ICASSP 2009: 2961-2964 - [c8]Dong Liang, Guangwu Xu, Haifeng Wang, Kevin F. King, Dan Xu, Leslie Ying:
Toeplitz Random Encoding MR Imaging Using Compressed Sensing. ISBI 2009: 270-273 - [c7]Jawad Al-Asad, Alireza Moghaddamjoo, Leslie Ying:
Ultrasound Image De-Noising Through Karhunen-Loeve (K-L) Transform with Overlapping Segments. ISBI 2009: 318-321 - [i2]Leslie Ying, Yi Ming Zou:
Linear Transformations and Restricted Isometry Property. CoRR abs/0901.0541 (2009) - 2008
- [c6]Jinhua Sheng, Leslie Ying:
A variable projection approach to parallel magnetic resonance imaging. ISBI 2008: 1027-1030 - [c5]Bo Liu, Emad Abdelsalam, Jinhua Sheng, Leslie Ying:
Improved spiral sense reconstruction using a multiscale wavelet model. ISBI 2008: 1505-1508 - [i1]Florian M. Sebert, Leslie Ying, Yi Ming Zou:
Toeplitz Block Matrices in Compressed Sensing. CoRR abs/0803.0755 (2008) - 2007
- [c4]Bo Liu, Leslie Ying, Michael Steckner, Jun Xie, Jinhua Sheng:
Regularized Sense Reconstruction Using Iteratively Refined Total Variation Method. ISBI 2007: 121-124 - [c3]Jinhua Sheng, Leslie Ying, Erik Wiener, Bo Liu:
Joint Estimation of Image and Coil Sensitivities in Parallel Spiral MRI. ISBI 2007: 133-136 - 2006
- [c2]Leslie Ying, Jinhua Sheng, Bo Liu:
Joint estimation of image and coil sensitivities in parallel MRI. ISBI 2006: 17-20 - [c1]Dan Xu, Leslie Ying, Zhi-Pei Liang:
Dynamic MRI using spatiotemporal modeling with phased array coils. ISBI 2006: 722-725
Coauthor Index
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