Dong Liang

Orcid: 0000-0001-6257-0875

Affiliations:

Chinese Academy of Sciences, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
University of Wisconsin-Milwaukee, WI, USA (2007 - 2011)
Shanghai Jiaotong University, China (PhD 2006)

According to our database¹, Dong Liang authored at least 181 papers between 2005 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Editorial.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, October, 2024

Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, October, 2024

MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT System.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, September, 2024

Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, September, 2024

Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, July, 2024

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, June, 2024

High-Frequency Space Diffusion Model for Accelerated MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, May, 2024

AIRPORT: A Data Consistency Constrained Deep Temporal Extrapolation Method To Improve Temporal Resolution In Contrast Enhanced CT Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, April, 2024

OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, April, 2024

Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, March, 2024

Super Resolution Dual-Energy Cone-Beam CT Imaging With Dual-Layer Flat-Panel Detector.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, February, 2024

Deep Generalized Learning Model for PET Image Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, January, 2024

F2IFlow for CT Metal Artifact Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2024

Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model.

[BibT_eX]

[DOI]

CoRR, 2024

DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis.

[BibT_eX]

[DOI]

CoRR, 2024

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Robust Cardiac T1 Mapping in Three Heartbeats With UltraMAP: A Synergistic CNN-FC Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Escape the Corrupted Lines by a Learning Sampling Pattern for MRI Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, December, 2023

One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, November, 2023

Riskformer: Survival prediction from MR imaging in patients with IDH-wildtype glioblastoma.

[BibT_eX]

[DOI]

Displays, September, 2023

Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., September, 2023

MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, September, 2023

K-UNN: k-space interpolation with untrained neural network.

[BibT_eX]

[DOI]

Medical Image Anal., August, 2023

Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI.

[BibT_eX]

[DOI]

Displays, July, 2023

Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., July, 2023

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, June, 2023

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., March, 2023

Deep MR parametric imaging with the learned L + S model and attention mechanism.

[BibT_eX]

[DOI]

IET Image Process., March, 2023

Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART).

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation.

[BibT_eX]

[DOI]

Signal Process., 2023

Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI.

[BibT_eX]

[DOI]

CoRR, 2023

Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2023

Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Decomposition Networks for Bias Field Correction in MR Image.

[BibT_eX]

[DOI]

CoRR, 2023

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI.

[BibT_eX]

[DOI]

CoRR, 2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI.

[BibT_eX]

[DOI]

CoRR, 2023

Active CT Reconstruction with a Learned Sampling Policy.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Semi-supervised Medical Image Segmentation with Multiscale Contrastive Learning and Cross-Supervision.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Developing a Dynamic Graph Network for Interpretable Analysis of Multi-Modal MRI Data in Parkinson's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2022

High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2022

Deep frequency-recurrent priors for inverse imaging reconstruction.

[BibT_eX]

[DOI]

Signal Process., 2022

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Deep unfolding as iterative regularization for imaging inverse problems.

[BibT_eX]

[DOI]

CoRR, 2022

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields.

[BibT_eX]

[DOI]

CoRR, 2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

High-Frequency Space Diffusion Models for Accelerated MRI.

[BibT_eX]

[DOI]

CoRR, 2022

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Deep Unrolled Reconstruction Using Regularization by Denoising.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Variable Augmented Network for Invertible MR Coil Compression.

[BibT_eX]

[DOI]

CoRR, 2022

ISA-Net: Improved spatial attention network for PET-CT tumor segmentation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

Segmentation-guided Denoising Network for Low-dose CT Imaging.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

Improved GAN: Using a transformer module generator approach for material decomposition.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

Domain generalization on medical imaging classification using episodic training with task augmentation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

Identification of Children's Tuberous Sclerosis Complex with Multiple-contrast MRI and 3D Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Learned Low-Rank Priors in Dynamic MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Learning Data Consistency and its Application to Dynamic MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

Enhancing the X-Ray Differential Phase Contrast Image Quality With Deep Learning Technique.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2021

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

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Dynamic PET Imaging Using Dual Texture Features.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2021

DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images.

[BibT_eX]

[DOI]

Displays, 2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.

[BibT_eX]

[DOI]

CoRR, 2021

Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning.

[BibT_eX]

[DOI]

CoRR, 2021

MRI Reconstruction Using Deep Energy-Based Model.

[BibT_eX]

[DOI]

CoRR, 2021

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2021

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.

[BibT_eX]

[DOI]

Appl. Intell., 2021

The Optimization of Adiabatic Pulses with Constant Amplitude Spin-lock for Magnetic Resonance $\mathrm{T}_{1\rho}$ Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Is Each Layer Non-trivial in CNN? (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

One-Stop MR Neurovascular Vessel Wall Imaging With a 48-Channel Coil System at 3 T.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2020

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

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

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

[BibT_eX]

[DOI]

NeuroImage, 2020

High-dimensional embedding network derived prior for compressive sensing MRI reconstruction.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

PET Image Reconstruction Using a Cascading Back-Projection Neural Network.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Deep Low-rank plus Sparse Network for Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Is each layer non-trivial in CNN?

[BibT_eX]

[DOI]

Wei Wang

Zhuoxu Cui

Dong Liang

CoRR, 2020

Deep Low-rank Prior in Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Learning for Highly Accelerated Diffusion Tensor Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Triggered Measurements in Markov Processes for Entropy-Constrained State Estimation with Application to Precision Agriculture.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests.

[BibT_eX]

[DOI]

Sensors, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2019

Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2019

Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Preliminary Study of Gradient Coils with Variable Gradient Value and Open-Drive Coil in Magnetic Particle Imaging.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

A Parameter-Insensitive Solution for Hybrid Compressed Sensing and Parallel Imaging.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Model Learning: Primal Dual Networks for Fast MR Imaging.

[BibT_eX]

[DOI]

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

A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction.

[BibT_eX]

[DOI]

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

Application of Time-Fractional Order Bloch Equation in Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Towards an Interpretable Radiomics Model for Classifying Renal Cell Carcinomas Subtypes: A Radiogenomics Assessment.

[BibT_eX]

[DOI]

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

Accelerated 3D Localization Microscopy Using Blind Sparse Inpainting.

[BibT_eX]

[DOI]

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

T1rho Fractional-order Relaxation of Human Articular Cartilage.

[BibT_eX]

[DOI]

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

Accelerating MR Imaging via Deep Chambolle-Pock Network.

[BibT_eX]

[DOI]

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

Susceptibility-based MR Imaging of Nitinol Stent.

[BibT_eX]

[DOI]

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

Three Dimensional Positive Contrast Susceptibility Fast Spin Echo MR Imaging with Variable Excitation Pulses and PD Algorithm.

[BibT_eX]

[DOI]

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

A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging.

[BibT_eX]

[DOI]

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

2018

Field-of-Experts Filters Guided Tensor Completion.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

A Dedicated 36-Channel Receive Array for Fetal MRI at 3T.

[BibT_eX]

[DOI]

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]

CoRR, 2018

Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors.

[BibT_eX]

[DOI]

Proceedings of the ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018, 2018

2017

A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

Sparse and dense hybrid representation via subspace modeling for dynamic MRI.

[BibT_eX]

[DOI]

Qiegen Liu

Shanshan Wang

Dong Liang

Comput. Medical Imaging Graph., 2017

2016

Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2016

Accelerating magnetic resonance imaging via deep learning.

[BibT_eX]

[DOI]

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

2015

GcsDecolor: Gradient Correlation Similarity for Efficient Contrast Preserving Decolorization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

MR Image Reconstruction with Convolutional Characteristic Constraint (CoCCo).

[BibT_eX]

[DOI]

Xi Peng

Dong Liang

IEEE Signal Process. Lett., 2015

Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2015

Real-Valued Reweighted l1 Norm Minimization Method Based on Data Reconstruction in MIMO Radar.

[BibT_eX]

[DOI]

IEICE Trans. Commun., 2015

Undersampled MR Image Reconstruction with Data-Driven Tight Frame.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2015

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

[BibT_eX]

[DOI]

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

Parallel imaging via sparse representation over a learned dictionary.

[BibT_eX]

[DOI]

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]

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

An easily-achieved time-domain beamformer for ultrafast ultrasound imaging based on compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Reference guided CS-MRI with gradient orientation priors.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

A Weighted Two-Level Bregman Method with Dictionary Updating for Nonconvex MR Image Reconstruction.

[BibT_eX]

[DOI]

Int. J. Biomed. Imaging, 2014

A non-convex gradient fidelity-based variational model for image contrast enhancement.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2014

Accurate T2 mapping with sparsity and linear predictability filtering.

[BibT_eX]

[DOI]

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

2013

Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2013

Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2013

Adaptive image decomposition via dictionary learning with stuctural incoherence.

[BibT_eX]

[DOI]

Qiegen Liu

Jianbo Liu

Dong Liang

Proceedings of the IEEE International Conference on Image Processing, 2013

SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering.

[BibT_eX]

[DOI]

Qiegen Liu

Leslie Ying

Dong Liang

Proceedings of the IEEE International Conference on Acoustics, 2013

Under-sampling trajectory design for compressed sensing based DCE-MRI.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Noise behavior of MR brain reconstructions using compressed sensing.

[BibT_eX]

[DOI]

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]

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]

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]

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]

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]

Huajun She

Rong-Rong Chen

Dong Liang

Edward V. R. Di Bella

Leslie Ying

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]

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

Under-sampling trajectory design for compressed sensing MRI.

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

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

[BibT_eX]

[DOI]

Dong Liang

Edward V. R. Di Bella

Rong-Rong Chen

Leslie Ying

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]

Yuchou Chang

Dong Liang

Leslie Ying

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]

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

PSF model simulation study using a cardiac phantom.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

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

[BibT_eX]

[DOI]

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]

Dong Liang

Hao F. Zhang

Leslie Ying

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

Toeplitz Random Encoding MR Imaging Using Compressed Sensing.

[BibT_eX]

[DOI]

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

2007

Direct Reconstruction of Spiral Mri Using Least Squares Quantization Table.

[BibT_eX]

[DOI]

Dong Liang

Edmund Y. Lam

George S. K. Fung

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

2005

A facial expression recognition system based on supervised locally linear embedding.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2005

Image Retrieval Using Weighted Color Co-occurrence Matrix.

[BibT_eX]

[DOI]

Proceedings of the Database: Enterprise, 2005

Dong Liang

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