Universal Undersampled MRI Reconstruction

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2016

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Wang, S., Su, Z., Ying, L., Peng, X., Zhu, S., Liang, F., Feng, D., Liang, D.: Accelerating magnetic resonance imaging via deep learning. In: 2016 IEEE 13th International Symposium on Biomedical Imaging. pp. 514–517. IEEE (2016)

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Yang, Y., Sun, J., Li, H., Xu, Z.: Deep ADMM-Net for compressive sensing MRI. In: Proceedings of the 30th international conference on neural information processing systems. pp. 10–18 (2016)

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Schlemper, J., Caballero, J., Hajnal, J.V., Price, A.N., Rueckert, D.: A deep cascade of convolutional neural networks for dynamic MR image reconstruction. IEEE transactions on Medical Imaging 37

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Yang, G., Yu, S., Dong, H., Slabaugh, G., Dragotti, P.L., Ye, X., et al.: DAGAN: Deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction. IEEE transactions on medical imaging 37

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Qin, C., Schlemper, J., Caballero, J., Price, A.N., Hajnal, J.V., Rueckert, D.: Convolutional recurrent neural networks for dynamic MR image reconstruction. IEEE transactions on medical imaging 38

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Zbontar, J., Knoll, F., Sriram, A., Murrell, T., Huang, Z., Muckley, M.J., et al.: fastMRI: An open dataset and benchmarks for accelerated MRI. arXiv preprint arXiv:1811.08839 (2018)

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Kavur, A.E., Gezer, N.S., Barış, M., Şahin, Y., Özkan, S., Baydar, B., et al.: Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors. Diagnostic and Interventional Radiology 26

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Knoll, F., Murrell, T., Sriram, A., Yakubova, N., Zbontar, J., Rabbat, M., Defazio, A., et al.: Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. Magnetic resonance in medicine 84

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Knoll, F., Zbontar, J., Sriram, A., Muckley, M.J., Bruno, M., Defazio, A., et al.: fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated mr image reconstruction using machine learning. Radiology: Artificial Intelligence 2

2020

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Murugesan, B., Vijayarangan, S., Sarveswaran, K., Ram, K., Sivaprakasam, M.: KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. In: Medical Imaging with Deep Learning. pp. 515–526. PMLR (2020)