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Quantitative MRI

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Showing 26–50 of 53 papers

TitleStatusHype
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Uncertainty-Aware Self-supervised Neural Network for Liver T_1ρ Mapping with Relaxation Constraint—0
Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in T_1ρ Quantification of Knee Cartilage Using Learning-Based Methods—0
Cover Tree Compressed Sensing for Fast MR Fingerprint Recovery—0
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction—0
Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord—0
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements—0
Fast Whole-Brain MR Multi-Parametric Mapping with Scan-Specific Self-Supervised Networks—0
Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement—0
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis—0
Geometry of Deep Learning for Magnetic Resonance Fingerprinting—0
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty—0
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns—0
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstructionCode0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
Cramér-Rao bound-informed training of neural networks for quantitative MRICode0
Improving accuracy and uncertainty quantification of deep learning based quantitative MRI using Monte Carlo dropoutCode0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimationCode0
MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 MappingCode0
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent PixelsCode0
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI ReconstructionCode0
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image ReconstructionCode0
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