| A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine | Oct 12, 2022 | compressed sensingImage Reconstruction | CodeCode Available | 1 | 5 |
| A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers | Feb 10, 2022 | De-aliasingDeep Learning | CodeCode Available | 1 | 5 |
| Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS | Jul 4, 2023 | Quantitative MRI | CodeCode Available | 1 | 5 |
| Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders | Jan 23, 2020 | compressed sensingPhysical Simulations | CodeCode Available | 1 | 5 |
| Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data | Dec 4, 2024 | Lesion SegmentationQuantitative MRI | CodeCode Available | 0 | 5 |
| MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping | Aug 21, 2024 | Image RegistrationQuantitative MRI | CodeCode Available | 0 | 5 |
| MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels | Nov 16, 2024 | Diffusion MRIQuantitative MRI | CodeCode Available | 0 | 5 |
| CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction | Oct 3, 2018 | Dimensionality ReductionQuantitative MRI | CodeCode Available | 0 | 5 |
| Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation | May 11, 2022 | parameter estimationQuantitative MRI | CodeCode Available | 0 | 5 |
| Cramér-Rao bound-informed training of neural networks for quantitative MRI | Sep 22, 2021 | Magnetic Resonance FingerprintingQuantitative MRI | CodeCode Available | 0 | 5 |
