Cover Image

Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yidong, Zhang, Yi, Tao, Qian
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Instance Optimization in Deformable Image Registration with Gradient Projection
by: Zhang, Yi, et al.
Published: (2024)

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
by: Zhao, Yidong, et al.
Published: (2024)

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models
by: Zhang, Yi, et al.
Published: (2025)

Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
by: Zhang, Yi, et al.
Published: (2026)

Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI
by: Zhang, Yi, et al.
Published: (2026)

Recurrent Inference Machine for Medical Image Registration
by: Zhang, Yi, et al.
Published: (2024)

A Comprehensive Survey on Magnetic Resonance Image Reconstruction
by: Kui, Xiaoyan, et al.
Published: (2025)

Deep-learning-based groupwise registration for motion correction of cardiac $T_1$ mapping
by: Zhang, Yi, et al.
Published: (2024)

Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
by: Zhao, Yidong, et al.
Published: (2024)

End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images
by: Nielsen, Jesper Duemose, et al.
Published: (2025)

Polarization Uncertainty-Guided Diffusion Model for Color Polarization Image Demosaicking
by: Li, Chenggong, et al.
Published: (2026)

Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study
by: Ding, Zhengyao, et al.
Published: (2024)

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
by: Sun, Haozhong, et al.
Published: (2025)

Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress
by: Schilling, Martin, et al.
Published: (2023)

Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning
by: Wang, Xin, et al.
Published: (2024)

Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion
by: Han, Xiaoxiang, et al.
Published: (2023)

On the Foundation Model for Cardiac MRI Reconstruction
by: Zhang, Chi, et al.
Published: (2024)

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction
by: Li, Zhongsen, et al.
Published: (2024)

A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images
by: Graham, Benjamin
Published: (2025)

Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
by: Hu, Yutao, et al.
Published: (2025)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
by: Capellán-Martín, Daniel, et al.
Published: (2024)

Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
by: Bian, Wanyu, et al.
Published: (2024)

Learning Two-factor Representation for Magnetic Resonance Image Super-resolution
by: Wei, Weifeng, et al.
Published: (2024)

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
by: Yang, Jiewen, et al.
Published: (2024)

GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images
by: Wang, Xinying, et al.
Published: (2024)

Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation
by: Zhang, Lingrui, et al.
Published: (2025)

Groupwise Registration with Physics-Informed Test-Time Adaptation on Multi-parametric Cardiac MRI
by: Li, Xinqi, et al.
Published: (2025)

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
by: Bubeck, Niklas, et al.
Published: (2025)

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
by: Zhang, Chaojie, et al.
Published: (2024)

Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising
by: Khan, Reeshad, et al.
Published: (2024)

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
by: Huang, Wenqi, et al.
Published: (2026)

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
by: Zhou, Feng, et al.
Published: (2024)

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
by: Wang, Jiamian, et al.
Published: (2022)

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
by: Tian, Xuanyu, et al.
Published: (2025)

Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach
by: Hashmi, Anam, et al.
Published: (2024)

Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction
by: Luo, Yihao, et al.
Published: (2024)

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
by: Kim, Jonghun, et al.
Published: (2023)

Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation
by: Zhang, Shaolei, et al.
Published: (2025)