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Quantitative MRI

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Showing 1–50 of 53 papers

TitleStatusHype
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encodersCode1
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
Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALASCode1
An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field—0
An Uncertainty Aided Framework for Learning based Liver T_1ρ Mapping and Analysis—0
A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification—0
Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging—0
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI—0
Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI—0
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping—0
T1/T2 relaxation temporal modelling from accelerated acquisitions using a Latent Transformer—0
3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain—0
Accelerating Quantitative MRI using Subspace Multiscale Energy Model (SS-MuSE)—0
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations—0
Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction—0
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI—0
qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model—0
Recurrent Inference Machines as inverse problem solvers for MR relaxometry—0
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design—0
Rician likelihood loss for quantitative MRI using self-supervised deep learning—0
SCREENER: A general framework for task-specific experiment design in quantitative MRI—0
SSL-QALAS: Self-Supervised Learning for Rapid Multiparameter Estimation in Quantitative MRI Using 3D-QALAS—0
StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations—0
Time efficiency analysis for undersampled quantitative MRI acquisitions—0
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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