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References from Multimodal Ultrasound and Clinical Data for Pediatric Appendicitis: Evaluating Label-Construction Circularity in the Regensburg Benchmark. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/s0196-0644(86)80993-3
10.1016/s0196-0644(86)80993-3 · External reference
10.1053/jpsu.2002.32893
10.1053/jpsu.2002.32893 · External reference
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10.1016/j.media.2023.103042
10.1016/j.media.2023.103042 · External reference
Machine learning and feature selection in pediatric appendicitis
10.3390/tomography11080090 · 2025 · External reference
10.1002/hsr2.70756
10.1002/hsr2.70756 · External reference
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
10.1038/s42256-021-00307-0 · 2021 · External reference
Detecting shortcut learning for fair medical AI using shortcut testing
10.1038/s41467-023-39902-7 · 2023 · External reference
Shortcut learning in medical AI hinders generalization: Method for estimating AI model generalization without external data
10.1038/s41746-024-01118-4 · 2024 · External reference
Biomedclip: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
2023 · External reference
Dinov2: Learning robust visual features without supervision
2023 · External reference
10.1136/bmj-2023-078378
10.1136/bmj-2023-078378 · External reference
10.2307/2531595
10.2307/2531595 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
