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Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.

, , , , , , , and . IEEE Trans. Medical Imaging, 40 (8): 2170-2181 (2021)

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Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network., , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 91-99. Springer, (2018)Segmentation of Pancreatic Subregions in Computed Tomography Images., , , , , , , , and . J. Imaging, 8 (7): 195 (2022)Calcium removal from cardiac ct images using deep convolutional neural network., , , , , , , and . ISBI, page 466-469. IEEE, (2018)Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking., , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 495-504. Springer, (2019)Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network., , , , , , , and . IEEE Trans. Medical Imaging, 40 (8): 2170-2181 (2021)Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network., , , , and . CoRR, (2020)Brain MRI super resolution using 3D deep densely connected neural networks., , , , , and . ISBI, page 739-742. IEEE, (2018)Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction., , , , and . ISBI, page 1-5. IEEE, (2022)Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting., , , and . Knowl. Based Syst., (2022)MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better., , , , , and . CoRR, (2020)