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Found 3 papers, 1 papers with code
A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates
In this study, we propose a deformation-based morphometry framework to estimate normal aging and AD-specific atrophy patterns of subjects from morphological MRI scans.
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
This work intends to, first, propose a robust inpainting model to learn the details of healthy anatomies and reconstruct high-resolution images by preserving anatomical constraints.
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT
Segmentation of COVID-19 lesions from chest CT scans is of great importance for better diagnosing the disease and investigating its extent.
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