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Found 2 papers, 1 papers with code
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning
In this work, we present a novel convolutional neural net- work based method for perfusion map generation in dynamic suscepti- bility contrast-enhanced perfusion imaging.
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
We customize features suitable for volumetric MRI to train the random forest and propose a median tree ensemble for robust regression.
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