Yinzhe Wu
Orcid: 0009-0003-7957-8816
According to our database1,
Yinzhe Wu
authored at least 27 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction.
CoRR, June, 2025
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
Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach.
CoRR, March, 2025
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.
Medical Image Anal., 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
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
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
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