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An Open-Source Self-navigated Multi-Echo Gradient Echo Acquisition for R2* and QSM mapping using Pulseq and Model-Based Reconstruction

Improved T1 and T2 mapping in 3D-QALAS using temporal subspaces and Cramer-Rao-bound flip angle optimization enabled by auto-differentiation

Multi-echo MRI Reconstruction with Iteratively Refined Zero-shot Spatio-Temporal Deep Generative Prior

Multi-echo MRI Reconstruction with Iteratively Refined Zero-shot Spatio-Temporal Deep Generative Prior

SubZero: Subspace Zero-Shot MRI Reconstruction

SubZero: Subspace Zero-Shot MRI Reconstruction

Self-Supervised Deep Learning Reconstruction for Highly Accelerated Diffusion Imaging

Self-Supervised Deep Learning Reconstruction for Highly Accelerated Diffusion Imaging

SRNR: Training neural networks for Super-Resolution MRI using Noisy high-resolution Reference data

Joint MR T1 and T2* Parameter Mapping with Scan Specific Unsupervised Networks

SSL-QALAS: Self-Supervised Learning for Multiparametric Quantitative MRI Using QALAS

DeepRF for simulatneous multislice pulses

DIMOND:DIffusion Model OptimizatioN with Deep learning

Feasibility of an optimized B0 passive shim helmet based on iron-oxide nanoparticle inks for human brain imaging

Concatenated multi-contrast wavelet-based compressed sensing reconstruction.

Model-based phase-difference reconstruction for accelerated phase-based T2 mapping