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Author

J. Rudd

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Apr 2025

SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events

We propose SurvSurf, a neural-network-based survival model for direct, simultaneous probabilistic prediction of first-hitting times of sequential events from baseline. Unlike existing models, SurvSurf is theoretically guaranteed to never violate the monotonic relationship between the cumulative incidence functions of...

Yichen Chen, Sören Dittmer, K. Bernatowicz et al. · 0 citations
Jul 2026

Rethinking Clinical Relevance in Chest X-ray Machine Learning: How Evaluation References Define Performance

This work systematically investigates how evaluation-reference choices affect model performance and ranking in both pathology classification and image quality assessment (IQA), and shows that for supervised image classifiers, changing the label source leads to substantial differences not only in performance estimates b...

Panagiotis Fytas, Ian Selby, C. Karner et al. · 0 citations

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