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Found 2 papers, 2 papers with code
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Remarkable progress has been made by data-driven machine-learning methods in the analysis of MRI scans.
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
We present new metrics to validate the intra- and inter-subject robustness of Brain-ID features, and evaluate their performance on four downstream applications, covering contrast-independent (anatomy reconstruction/contrast synthesis, brain segmentation), and contrast-dependent (super-resolution, bias field estimation) tasks.
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