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| 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 |
| Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders | Jan 23, 2020 | compressed sensingPhysical Simulations | CodeCode Available | 1 |
| Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS | Jul 4, 2023 | Quantitative MRI | CodeCode Available | 1 |
| An Uncertainty Aided Framework for Learning based Liver T_1ρ Mapping and Analysis | Jul 6, 2023 | Quantitative MRI | —Unverified | 0 |
| A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification | Dec 11, 2024 | Data AugmentationQuantitative MRI | —Unverified | 0 |
| Accelerating Quantitative MRI using Subspace Multiscale Energy Model (SS-MuSE) | Feb 14, 2025 | Quantitative MRI | —Unverified | 0 |
| Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging | Sep 21, 2023 | Network Interpretationparameter estimation | —Unverified | 0 |
| An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field | Aug 9, 2023 | Quantitative MRI | —Unverified | 0 |
| Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations | Dec 30, 2024 | Deep Learningparameter estimation | —Unverified | 0 |
