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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Paul Fischer

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2 papers indexed here

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Preprint Aug 2026

VIDS-Seg: Towards Reliable Uncertainty Quantification in Pediatric Cardiac Ultrasound Segmentation

Reliable clinical deployment of machine learning requires models that know when they are likely to fail, particularly for subgroups underrepresented in training data. A common case is pediatric care, where models trained on adult cohorts can silently under-perform on children with no indication that something has gone...

Paul Fischer, Ece Ozkan · 0 citations
Open access Aug 2026

Uncertainty estimation for reliable neural network-based radiotherapy dose modelling using Monte Carlo dropout, mean variance estimation and deep ensemble

All methods provided meaningful uncertainty estimates clearly associated with prediction error, and MVE showed the lowest ENCE and strongest correlation with MAE while requiring the least computation.

Moritz Schneider, T. Eberhardt, C. Gani et al. · 0 citations

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