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1. Y. Zhao et al. Whole-body magnetic resonance imaging at 0.05 Tesla. In: Science 384 (2024), eadm7168. doi:10.1126/science.adm7168 [doi]
2. T. O’Reilly, W.M. Teeuwisse, D. de Gans, K. Koolstra, and A.G. Webb. In vivo 3D brain and extremity MRI at 50 mT using a permanent magnet Halbach array. In: Magnetic Resonance in Medicine 85.1 (2021), pp. 495–505. doi:10.1002/mrm.28396 [doi]
4. N. Koonjoo et al. Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction. In: Scientific Reports 11 (2021), 8248. doi:10.1038/s41598-021-87482-7 [doi]
5. M. Lustig, D. Donoho, and J.M. Pauly. Sparse MRI: The application of compressed sensing for rapid MR imaging. In: Magnetic Resonance in Medicine 58 (2007), pp. 1182–1195. doi:10.1002/mrm.21391 [doi]
6. B. Yaman et al. Zero-shot self-supervised learning for MRI reconstruction. In: Proceedings of the International Conference on Learning Representations (2021). doi:10.48550/arXiv.2102.07737 [doi]
7. H.K. Aggarwal, M.P. Mani, and M. Jacob. MoDL: Model-Based Deep Learning Architecture for Inverse Problems. In: IEEE Transactions on Medical Imaging 38.2 (2019), pp. 394–405. doi:10.1109/TMI.2018.2865356 [doi]
8. B. Yaman et al. Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data. In: Magnetic Resonance in Medicine 84 (2020), pp. 3172–3191. doi:10.1002/mrm.28378 [doi]
9. A. Vaswani et al. Attention is all you need. In: Advances in Neural Information Processing Systems (2017), pp. 5998–6008. doi: 10.48550/arXiv.1706.03762 [doi]
10. C. Najac, R. van den Broek, T. O'Reilly, A.G. Webb, B. Lena. Evaluating repeatability of In-Vivo imaging in multiple locations using a portable Halbach-based 46 mT scanner. ISMRM; Honolulu2025.