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Leslie Ying

Orcid: 0000-0001-9801-1362

According to our database¹, Leslie Ying authored at least 87 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

On csauthors.net:

Bibliography

2024

Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising.

[BibT_eX]

[DOI]

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Xiaoliang Zhang

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IEEE Trans. Medical Imaging, March, 2024

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities.

[BibT_eX]

[DOI]

Kasra Borazjani

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Seyyedali Hosseinalipour

CoRR, 2024

2023

Subspace Model-Assisted Deep Learning for Improved Image Reconstruction.

[BibT_eX]

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IEEE Trans. Medical Imaging, December, 2023

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.

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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.

[BibT_eX]

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IEEE Signal Process. Mag., March, 2023

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.

[BibT_eX]

[DOI]

Yousuf Babiker M. Osman

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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.

[BibT_eX]

[DOI]

Konstantinos Slavakis

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Gaurav N. Shetty

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Gesualdo Scutari

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IEEE Trans. Computational Imaging, 2022

Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging.

[BibT_eX]

[DOI]

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IEEE Trans. Biomed. Eng., 2022

Unsupervised Deep Unrolled Reconstruction Using Regularization by Denoising.

[BibT_eX]

[DOI]

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Xiaoliang Zhang

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CoRR, 2022

2021

Learned Low-Rank Priors in Dynamic MR Imaging.

[BibT_eX]

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IEEE Trans. Medical Imaging, 2021

Learning Data Consistency and its Application to Dynamic MR Imaging.

[BibT_eX]

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IEEE Trans. Medical Imaging, 2021

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

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IEEE Trans. Computational Imaging, 2021

Deep low-Rank plus sparse network for dynamic MR imaging.

[BibT_eX]

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Medical Image Anal., 2021

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

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CoRR, 2021

2020

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery.

[BibT_eX]

[DOI]

Gaurav N. Shetty

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Konstantinos Slavakis

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Gesualdo Scutari

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IEEE Trans. Medical Imaging, 2020

Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks.

[BibT_eX]

[DOI]

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IEEE Signal Process. Mag., 2020

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors].

[BibT_eX]

[DOI]

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IEEE Signal Process. Mag., 2020

Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method.

[BibT_eX]

[DOI]

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Tanzil Mahmud Arefin

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Choong-Heon Lee

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Jiangyang Zhang

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NeuroImage, 2020

Deep Low-rank Prior in Dynamic MR Imaging.

[BibT_eX]

[DOI]

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CoRR, 2020

Deep Learning for Highly Accelerated Diffusion Tensor Imaging.

[BibT_eX]

[DOI]

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Xiaoliang Zhang

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Jiangyang Zhang

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CoRR, 2020

A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography.

[BibT_eX]

[DOI]

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Nikhila Nyayapathi

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Comput. Medical Imaging Graph., 2020

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

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Joseph Y. Cheng

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Morteza Mardani

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Shreyas S. Vasanawala

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning.

[BibT_eX]

[DOI]

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Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case.

[BibT_eX]

[DOI]

Gaurav N. Shetty

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Konstantinos Slavakis

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Gesualdo Scutari

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Proceedings of the 28th European Signal Processing Conference, 2020

2019

KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2019

An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling.

[BibT_eX]

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CoRR, 2019

Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks.

[BibT_eX]

[DOI]

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CoRR, 2019

Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.

[BibT_eX]

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CoRR, 2019

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.

[BibT_eX]

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CoRR, 2019

CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint.

[BibT_eX]

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CoRR, 2019

Model Learning: Primal Dual Networks for Fast MR Imaging.

[BibT_eX]

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Fast Calculation Method of Average G-Factor for Wave-CAIPI Imaging.

[BibT_eX]

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Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Accelerated 3D Localization Microscopy Using Blind Sparse Inpainting.

[BibT_eX]

[DOI]

Sunil Kumar Gaire

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Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Accelerating MR Imaging via Deep Chambolle-Pock Network.

[BibT_eX]

[DOI]

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Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Artificial Neural Network Enhanced Bayesian PET Image Reconstruction.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2018

Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging.

[BibT_eX]

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IEEE Trans. Medical Imaging, 2018

DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training.

[BibT_eX]

[DOI]

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CoRR, 2018

MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging.

[BibT_eX]

[DOI]

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Konstantinos Slavakis

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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.

[BibT_eX]

[DOI]

S. K. HashemizadehKolowri

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Edward V. R. DiBella

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Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

SecSAKE: Towards Secure and Efficient Outsourcing of Clinical MRI Reconstruction.

[BibT_eX]

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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.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2017

Enhancing Bayesian PET image reconstruction using neural networks.

[BibT_eX]

[DOI]

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Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging.

[BibT_eX]

[DOI]

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Konstantinos Slavakis

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Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery.

[BibT_eX]

[DOI]

Konstantinos Slavakis

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Gaurav N. Shetty

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Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Accelerating magnetic resonance imaging via deep learning.

[BibT_eX]

[DOI]

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Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding.

[BibT_eX]

[DOI]

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Konstantinos Slavakis

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Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Guest Editorial EMBC 2014.

[BibT_eX]

[DOI]

Walter G. Besio

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Nigel H. Lovell

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Carmen C. Y. Poon

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IEEE J. Biomed. Health Informatics, 2015

Initial testing of a 3D printed perfusion phantom using digital subtraction angiography.

[BibT_eX]

[DOI]

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Parag Khobragade

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Kenneth V. Snyder

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Daniel R. Bednarek

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Ciprian N. Ionita

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging.

[BibT_eX]

[DOI]

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Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Parallel imaging via sparse representation over a learned dictionary.

[BibT_eX]

[DOI]

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David Dagan Feng

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Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping.

[BibT_eX]

[DOI]

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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).

[BibT_eX]

[DOI]

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Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Compressed Sensing Dynamic Cardiac Cine MRI Using Learned Spatiotemporal Dictionary.

[BibT_eX]

[DOI]

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IEEE Trans. Biomed. Eng., 2014

Sparsity-based PET image reconstruction using MRI learned dictionaries.

[BibT_eX]

[DOI]

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Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Accurate T2 mapping with sparsity and linear predictability filtering.

[BibT_eX]

[DOI]

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Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Undersampled dynamic magnetic resonance imaging using kernel principal component analysis.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Edward V. R. DiBella

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Matthias Schabel

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Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery.

[BibT_eX]

[DOI]

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IEEE Trans. Image Process., 2013

A kernel-based compressed sensing approach to dynamic MRI from highly undersampled data.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Efficient GRAPPA reconstruction using random projection.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Proceedings of the IEEE International Conference on Acoustics, 2013

Noise behavior of MR brain reconstructions using compressed sensing.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Three-dimensional hybrid-encoded MRI using compressed sensing.

[BibT_eX]

[DOI]

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Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A hybrid total-variation minimization approach to compressed sensing.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Edward V. R. Di Bella

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Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A kernel approach to compressed sensing parallel MRI.

[BibT_eX]

[DOI]

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Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

K-T ISD: Compressed sensing with iterative support detection for dynamic MRI.

[BibT_eX]

[DOI]

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Edward V. R. Di Bella

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Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A kernel approach to parallel MRI reconstruction.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

Christopher A. Baker

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Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Parallel MRI Using Phased Array Coils.

[BibT_eX]

[DOI]

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IEEE Signal Process. Mag., 2010

Beamlet Transform-Based Technique for Pavement Crack Detection and Classification.

[BibT_eX]

[DOI]

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Ezzatollah Salari

Comput. Aided Civ. Infrastructure Eng., 2010

Image reconstruction from phased-array MRI data based on multichannel blind deconvolution.

[BibT_eX]

[DOI]

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Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Compressed-sensing Photoacoustic Imaging based on random optical illumination.

[BibT_eX]

[DOI]

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Int. J. Funct. Informatics Pers. Medicine, 2009

Toeplitz Random Encoding MR Imaging Using Compressed Sensing.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Alireza Moghaddamjoo

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Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Linear transformations and Restricted Isometry Property.

[BibT_eX]

[DOI]

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Proceedings of the IEEE International Conference on Acoustics, 2009

Beamlet transform based technique for pavement image processing and classification.

[BibT_eX]

[DOI]

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Ezzatollah Salari

Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009

2008

Toeplitz Block Matrices in Compressed Sensing

[BibT_eX]

[DOI]

Florian M. Sebert

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CoRR, 2008

A variable projection approach to parallel magnetic resonance imaging.

[BibT_eX]

[DOI]

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Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Improved spiral sense reconstruction using a multiscale wavelet model.

[BibT_eX]

[DOI]

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Emad Abdelsalam

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Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Joint Estimation of Image and Coil Sensitivities in Parallel Spiral MRI.

[BibT_eX]

[DOI]

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Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Regularized Sense Reconstruction Using Iteratively Refined Total Variation Method.

[BibT_eX]

[DOI]

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Michael Steckner

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Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Joint estimation of image and coil sensitivities in parallel MRI.

[BibT_eX]

[DOI]

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Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Dynamic MRI using spatiotemporal modeling with phased array coils.

[BibT_eX]

[DOI]

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Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

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