- Performance of Automated ASPECTS Software and Value as a Computer-Aided Detection Tool
This retrospective study compared the agreement of automated ASPECTS and raters with a different experience level in scoring patients with acute ischemic stroke with large-vessel occlusion undergoing thrombectomy. The agreement of all raters individually versus the criterion standard and interrater agreement improved with software assistance.
- Deep Learning of Time–Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma
The autoencoder perfusion pattern analysis enabled tissue characterization of peritumoral areas, providing heterogeneity and dynamic information that may provide useful prognostic information in IDH wild-type glioblastoma.
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