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

[BibT_eX]

[DOI]

Yanjie Zhu

Jing Cheng

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

Application of Long-Term Poverty Alleviation Mechanism in Chengde From the Perspective of Big Data Based on Computational Neural Model Fuzzy Algorithm.

[BibT_eX]

[DOI]

Yanjie Zhu

Chunzheng Fu

Int. J. Inf. Technol. Web Eng., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 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

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

[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

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

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

[BibT_eX]

[DOI]

CoRR, 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

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

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

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

[BibT_eX]

[DOI]

Medical Image Anal., 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

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

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

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

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2020

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

[BibT_eX]

[DOI]

Medical Image Anal., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Deep Low-rank Prior in Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

2019

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

[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

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

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

A 2.666GT/s 128GB/s 14nm Memory I/O with Jitter and Crosstalk Cancellation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019

2013

Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

2012

Automatic Segmentation of Ground-Glass Opacities in Lung CT Images by Using Markov Random Field-Based Algorithms.

[BibT_eX]

[DOI]

J. Digit. Imaging, 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

2011

Automatic honeycombing detection based on watershed transform.

[BibT_eX]

[DOI]

Yanjie Zhu

Jianguo Zhang

Wenjie Dong

Proceedings of the Third International Conference on Digital Image Processing, 2011

2010

Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2010

Differential Evolution for Optimization of Land Use.

[BibT_eX]

[DOI]