Leslie Ying
Orcid: 0000-0001-9801-1362
According to our database1,
Leslie Ying
authored at least 87 papers
between 2006 and 2025.
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Bibliography
2025
Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities.
IEEE Trans. Medical Imaging, January, 2025
2024
IEEE Trans. Medical Imaging, March, 2024
2023
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Medical Imaging, December, 2023
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.
IEEE Signal Process. Mag., March, 2023
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.
IEEE Trans. Computational Imaging, 2022
Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging.
IEEE Trans. Biomed. Eng., 2022
CoRR, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Computational Imaging, 2021
2020
IEEE Trans. Medical Imaging, 2020
IEEE Signal Process. Mag., 2020
IEEE Signal Process. Mag., 2020
Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method.
NeuroImage, 2020
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography.
Comput. Medical Imaging Graph., 2020
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Medical Imaging, 2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling.
CoRR, 2019
CoRR, 2019
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.
CoRR, 2019
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.
CoRR, 2019
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
IEEE Trans. Medical Imaging, 2018
IEEE Trans. Medical Imaging, 2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training.
CoRR, 2018
MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errors.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018
2017
A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI.
IEEE Trans. Medical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Initial testing of a 3D printed perfusion phantom using digital subtraction angiography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D).
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
IEEE Trans. Biomed. Eng., 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Undersampled dynamic magnetic resonance imaging using kernel principal component analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
IEEE Trans. Image Process., 2013
A kernel-based compressed sensing approach to dynamic MRI from highly undersampled data.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Undersampled dynamic magnetic resonance imaging using patch-based spatiotemporal dictionaries.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
A model-based method with joint sparsity constraint for direct diffusion tensor estimation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
k-t CSPI: A dynamic MRI reconstruction framework for combining compressed sensing and parallel imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Simultaneous image reconstruction and sensitivity estimation in parallel MRI using blind compressed sensing.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Comput. Aided Civ. Infrastructure Eng., 2010
Image reconstruction from phased-array MRI data based on multichannel blind deconvolution.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Int. J. Funct. Informatics Pers. Medicine, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Ultrasound Image De-Noising Through Karhunen-Loeve (K-L) Transform with Overlapping Segments.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009
2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006