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Quantitative MRI

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Showing 1–50 of 53 papers

TitleStatusHype
Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALASCode1
A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machineCode1
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep DenoisersCode1
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encodersCode1
Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction—0
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty—0
Accelerating Quantitative MRI using Subspace Multiscale Energy Model (SS-MuSE)—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
Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement—0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations—0
A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification—0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent PixelsCode0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI—0
MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 MappingCode0
Fast Whole-Brain MR Multi-Parametric Mapping with Scan-Specific Self-Supervised Networks—0
SCREENER: A general framework for task-specific experiment design in quantitative MRI—0
StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations—0
qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model—0
3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain—0
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRICode0
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image ReconstructionCode0
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI ReconstructionCode0
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI—0
T1/T2 relaxation temporal modelling from accelerated acquisitions using a Latent Transformer—0
Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging—0
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction—0
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis—0
An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field—0
Rician likelihood loss for quantitative MRI using self-supervised deep learning—0
An Uncertainty Aided Framework for Learning based Liver T_1ρ Mapping and Analysis—0
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns—0
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI ReconstructionCode0
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design—0
SSL-QALAS: Self-Supervised Learning for Rapid Multiparameter Estimation in Quantitative MRI Using 3D-QALAS—0
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting—0
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI—0
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping—0
Uncertainty-Aware Self-supervised Neural Network for Liver T_1ρ Mapping with Relaxation Constraint—0
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimationCode0
Progressive Subsampling for Oversampled Data -- Application to Quantitative MRICode0
Improving accuracy and uncertainty quantification of deep learning based quantitative MRI using Monte Carlo dropoutCode0
Cramér-Rao bound-informed training of neural networks for quantitative MRICode0
Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord—0
Recurrent Inference Machines as inverse problem solvers for MR relaxometry—0
Time efficiency analysis for undersampled quantitative MRI acquisitions—0
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstructionCode0
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