1 citations · 1 across the 3 of their papers we have counts for
3 papers
Robust by Design: A Continuous Monitoring and Data Integration Framework for Medical AI
Mohammad Daouk, Jan Ulrich Becker, Neeraja Kambham +3
Adaptive medical AI models often face performance drops in dynamic clinical environments due to data drift. We propose an autonomous continuous monitoring and data integration fram…
Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps
Mohammad Daouk, Jan Ulrich Becker, Neeraja Kambham +3
Stain variability is a pervasive source of distribution shift and potential shortcut learning in renal pathology AI. We ask whether lupus nephritis glomerular lesion classifiers ex…
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs)
Huy Q. Vo, Pietro A. Cicalese, Surya Seshan +18
The thrombotic microangiopathies (TMAs) manifest in renal biopsy histology with a broad spectrum of acute and chronic findings. Precise diagnostic criteria for a renal biopsy diagn…