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On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy
The gold-standard for reconstruction of undersampled MR data is compressed sensing (CS) which is computationally slow and limits the rate that images can be available for real-time adaptation.
Adaptive multi-channel event segmentation and feature extraction for monitoring health outcomes
$\textbf{Conclusion}$: The proposed transfer learning event segmentation method is robust to temporal shifts in data distribution and can be used to produce highly discriminative event-labeled features for health monitoring.
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