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Found 3 papers, 2 papers with code
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain
Numerous branches can be still enhanced due to the nature of MRI recompilation: disease detection and segmentation, data augmentation, improvement in data collection, or image enhancement are some of them.
Ranked #1 on
MRI Reconstruction
on IXI
Image quality assessment for closed-loop computer-assisted lung ultrasound
The diagnosis assistance module can then be trained with data that are deemed of sufficient quality, guaranteed by the closed-loop feedback mechanism from the quality assessment module.
Sparse data to structured imageset transformation
Machine learning problems involving sparse datasets may benefit from the use of convolutional neural networks if the numbers of samples and features are very large.
