Search Results for author: Tobias Schäffter

Found 3 papers, 1 papers with code

The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review

no code implementations21 Feb 2024 Daniel Schwabe, Katinka Becker, Martin Seyferth, Andreas Klaß, Tobias Schäffter

Since data quality dictates the behaviour of ML products, evaluating data quality will play a key part in the regulatory approval of medical AI products.

Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks

no code implementations3 Nov 2023 Christiane Posselt, Mehmet Yigit Avci, Mehmet Yigitsoy, Patrick Schünke, Christoph Kolbitsch, Tobias Schäffter, Stefanie Remmele

Experiments comprise the validation of the simulated images by real MR scans and example stress tests on state-of-the-art MS lesion segmentation networks to explore a generic model function to describe the F1 score in dependence of the contrast-affecting sequence parameters echo time (TE) and inversion time (TI).

Lesion Segmentation Segmentation

MedalCare-XL: 16,900 healthy and pathological 12 lead ECGs obtained through electrophysiological simulations

3 code implementations29 Nov 2022 Karli Gillette, Matthias A. F. Gsell, Claudia Nagel, Jule Bender, Bejamin Winkler, Steven E. Williams, Markus Bär, Tobias Schäffter, Olaf Dössel, Gernot Plank, Axel Loewe

Mechanistic cardiac electrophysiology models allow for personalized simulations of the electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface.

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