Biomedical Imaging Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification
Gonzalo Esteban, Mosquera Rojas, S. R. van der Voort et al.
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Imaging Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hip-pocampal Segmentation
Ensemble-derived uncertainty quantification with sample variance, mutual information, and predictive entropy is shown to reduce inaccurate segmentations by flagging low-confidence cases, potentially providing a mechanism for automatically escalating ambiguous cases for expert assessment.
Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge et al.
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