Yinzhe Wu

Orcid: 0009-0003-7957-8816

According to our database1, Yinzhe Wu authored at least 36 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.
IEEE Trans. Medical Imaging, May, 2026

Self-Supervised Spatial And Zero-Shot Angular Super-Resolution by Spatial-Angular Implicit Representation For Rotating-View SNR-Efficient Diffusion MRI.
CoRR, May, 2026

Towards Trustworthy Selective Generation: Reliability-Guided Diffusion for Ultra-Low-Field to High-Field MRI Synthesis.
CoRR, March, 2026

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction.
IEEE Trans. Image Process., 2026

Explicit differentiable slicing and global deformation for cardiac mesh reconstruction.
Medical Image Anal., 2026

Pretext Task Adversarial Learning for Unpaired Low-Field to Ultra High-Field MRI Synthesis.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Making 3D Diffusion Easier: Autocalibration-Signal-Conditioned Diffusion Model for Dynamic Mri Reconstruction.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Decoupling Multi-Contrast Super-Resolution: Pairing Unpaired Synthesis with Implicit Representations.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database.
CoRR, December, 2025

Cyclic Self-Supervised Diffusion for Ultra Low-field to High-field MRI Synthesis.
CoRR, October, 2025

Enhanced DTCMR With Cascaded Alignment and Adaptive Diffusion.
IEEE Trans. Medical Imaging, April, 2025

RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement.
CoRR, April, 2025

Topology-Preserving Loss for Accurate and Anatomically Consistent Cardiac Mesh Reconstruction.
CoRR, March, 2025

On the caveats of AI autophagy.
Nat. Mac. Intell., 2025

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.
Medical Image Anal., 2025

Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Is Fitting Error a Reliable Metric for Assessing Deformable Motion Correction in Quantitative MRI?
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Spreading Depolarization Detection in Electrocorticogram Spectrogram Imaging by Deep Learning: Is it Just About Delta Band?
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference?
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach.
IEEE J. Biomed. Health Informatics, October, 2024

Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction.
CoRR, 2024

When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI.
CoRR, 2024

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.
CoRR, 2024

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.
IEEE J. Biomed. Health Informatics, October, 2023

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging.
CoRR, 2023

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.
CoRR, 2023

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

2022
Swin transformer for fast MRI.
Neurocomputing, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022

Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

CS<sup>2</sup>: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fast MRI Reconstruction: How Powerful Transformers Are?
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives.
CoRR, 2021

Automated multi-channel segmentation for the 4D myocardial velocity mapping cardiac MR.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021


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