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Author

H. Müller

3 papers indexed here

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Review Open access Aug 2026

The consensus-based CINEX guideline for reporting clinical information extraction studies

Abstract Objective Information extraction (IE) from clinical texts has advanced rapidly with recent advances in natural language processing, particularly the advent of large language models (LLMs). However, inconsistent and incomplete reporting of methodologies limits reproducibility, comparability, and clinical transl...

Daniel Reichenpfader, Jamil Zaghir, E. Cécilia-Joseph et al. · 0 citations
Preprint Aug 2026

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training

Whole slide images (WSIs) in digital histopathology are acquired at discrete magnification levels encoding complementary diagnostic information from global tissue architecture to fine-grained cellular morphology. Yet, deep learning models remain sensitive to scale variation. Existing magnification-invariant methods rel...

Agnieszka Florkowska, H. Müller, M. Wodzinski · 0 citations

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