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Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network
We propose a deep-learning framework, trained by radiologists' supervision, for automating FOV prescription.
Artifact- and content-specific quality assessment for MRI with image rulers
We propose a framework with multi-task CNN model trained with calibrated labels and inferenced with image rulers.
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
The reconstruction networks consist of a generator which suppresses the input image artifacts, and a discriminator using a pool of (unpaired) labels to adjust the reconstruction quality.
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