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Learning From Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction.
Ibsa Jalata
Reeshad Khan
Ukash Nakarmi
Published in:
IEEE Access (2024)
Keyphrases
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image reconstruction
deep learning
magnetic resonance
computed tomography
image data
medical images
sparsely sampled
learning algorithm
super resolution
unsupervised learning
mr images
three dimensional
reinforcement learning
image registration
supervised learning