Yanjie Zhu

Orcid: 0000-0002-9131-689X

According to our database1, Yanjie Zhu authored at least 50 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.
IEEE Trans. Medical Imaging, December, 2023

The comparison of diffusion tensor imaging in human hearts between 1.5 T and 3.0 T.
BMC Medical Imaging, December, 2023

K-UNN: k-space interpolation with untrained neural network.
Medical Image Anal., August, 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

Deep MR parametric imaging with the learned <i>L</i> + <i>S</i> model and attention mechanism.
IET Image Process., March, 2023

Accelerating Magnetic Resonance T<sub>1ρ</sub> Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART).
IEEE Trans. Medical Imaging, 2023

Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.
CoRR, 2023

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection.
CoRR, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.
CoRR, 2023

Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis.
CoRR, 2023

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model.
CoRR, 2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI.
CoRR, 2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI.
CoRR, 2023

Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis.
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.
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.
CoRR, 2022

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields.
CoRR, 2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction.
CoRR, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.
CoRR, 2022

High-Frequency Space Diffusion Models for Accelerated MRI.
CoRR, 2022

PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging.
CoRR, 2022

Identification of Children's Tuberous Sclerosis Complex with Multiple-contrast MRI and 3D Convolutional Network.
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.
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.
IEEE Trans. Medical Imaging, 2021

Learned Low-Rank Priors in Dynamic MR Imaging.
IEEE Trans. Medical Imaging, 2021

Learning Data Consistency and its Application to Dynamic MR Imaging.
IEEE Trans. Medical Imaging, 2021

Deep Manifold Learning for Dynamic MR Imaging.
IEEE Trans. Computational Imaging, 2021

Deep low-Rank plus sparse network for dynamic MR imaging.
Medical Image Anal., 2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.
CoRR, 2021

Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning.
CoRR, 2021

SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging.
CoRR, 2021

Deep Manifold Learning for Dynamic MR Imaging.
CoRR, 2021

The Optimization of Adiabatic Pulses with Constant Amplitude Spin-lock for Magnetic Resonance $\mathrm{T}_{1\rho}$ Imaging.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Is Each Layer Non-trivial in CNN? (Student Abstract).
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.
IEEE Trans. Biomed. Eng., 2020

High-dimensional embedding network derived prior for compressive sensing MRI reconstruction.
Medical Image Anal., 2020

Deep Low-rank plus Sparse Network for Dynamic MR Imaging.
CoRR, 2020

Deep Low-rank Prior in Dynamic MR Imaging.
CoRR, 2020

2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling.
CoRR, 2019

Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.
CoRR, 2019

T1rho Fractional-order Relaxation of Human Articular Cartilage.
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.
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.
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.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019

2013
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery.
IEEE Trans. Image Process., 2013

2012
Automatic Segmentation of Ground-Glass Opacities in Lung CT Images by Using Markov Random Field-Based Algorithms.
J. Digit. Imaging, 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

2011
Automatic honeycombing detection based on watershed transform.
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.
J. Digit. Imaging, 2010

Differential Evolution for Optimization of Land Use.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010


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