| 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 |
| Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI | Mar 17, 2022 | Deep LearningNeural Architecture Search | CodeCode Available | 0 |
| 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 |
| Improving accuracy and uncertainty quantification of deep learning based quantitative MRI using Monte Carlo dropout | Dec 2, 2021 | Quantitative MRIUncertainty Quantification | CodeCode Available | 0 |
| Cramér-Rao bound-informed training of neural networks for quantitative MRI | Sep 22, 2021 | Magnetic Resonance FingerprintingQuantitative MRI | CodeCode Available | 0 |
| Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord | Aug 9, 2021 | Diffusion MRIPrognosis | —Unverified | 0 |
| Recurrent Inference Machines as inverse problem solvers for MR relaxometry | Jun 8, 2021 | Quantitative MRI | —Unverified | 0 |
| Time efficiency analysis for undersampled quantitative MRI acquisitions | Oct 13, 2020 | Quantitative MRI | —Unverified | 0 |
| Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders | Jan 23, 2020 | compressed sensingPhysical Simulations | CodeCode Available | 1 |
| CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction | Oct 3, 2018 | Dimensionality ReductionQuantitative MRI | CodeCode Available | 0 |
