A 354-parameter shallow-deep neural network using age, AST, ALT, platelets and FIB-4 achieved external ROC-AUCs of 0.77 and 0.67 for advanced MASLD fibrosis, slightly above FIB-4's 0.75 and 0.60 on Malaysian and Indian cohorts.
ZACH-ViT: Regime-dependent in- ductive bias in compact vision transformers for medical imaging
2 Pith papers cite this work. Polarity classification is still indexing.
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ZACH-ViT shows the best mean rank on clean and corrupted medical images and remains competitive under adversarial perturbations in low-data regimes.
citing papers explorer
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Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
A 354-parameter shallow-deep neural network using age, AST, ALT, platelets and FIB-4 achieved external ROC-AUCs of 0.77 and 0.67 for advanced MASLD fibrosis, slightly above FIB-4's 0.75 and 0.60 on Malaysian and Indian cohorts.
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Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes
ZACH-ViT shows the best mean rank on clean and corrupted medical images and remains competitive under adversarial perturbations in low-data regimes.