Search Results for author: Markus A. Weigand

Found 2 papers, 1 papers with code

New spectral imaging biomarkers for sepsis and mortality in intensive care

1 code implementation • 19 Aug 2024 • Silvia Seidlitz, Katharina Hölzl, Ayca von Garrel, Jan Sellner, Stephan Katzenschlager, Tobias Hölle, Dania Fischer, Maik von der Forst, Felix C. F. Schmitt, Markus A. Weigand, Lena Maier-Hein, Maximilian Dietrich

The predictive performance improves substantially when additional clinical data is incorporated, leading to an AUROC of up to 0. 94 (95 % CI [0. 92; 0. 96]) for sepsis and 0. 84 (95 % CI [0. 78; 0. 89]) for mortality.

ICU Admission

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Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis

no code implementations • 15 Jun 2021 • Maximilian Dietrich, Silvia Seidlitz, Nicholas Schreck, Manuel Wiesenfarth, Patrick Godau, Minu Tizabi, Jan Sellner, Sebastian Marx, Samuel Knödler, Michael M. Allers, Leonardo Ayala, Karsten Schmidt, Thorsten Brenner, Alexander Studier-Fischer, Felix Nickel, Beat P. Müller-Stich, Annette Kopp-Schneider, Markus A. Weigand, Lena Maier-Hein

Sepsis is a leading cause of mortality and critical illness worldwide.

BIG-bench Machine Learning

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