8 citations · 8 across the 4 of their papers we have counts for
4 papers
Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI
Katinka Becker, Maximilian P. Oppelt, Tobias S. Zech +19
Machine learning (ML) in medicine has transitioned from research to concrete applications aimed at supporting several medical purposes like therapy selection, monitoring and treatm…
REVELIO -- Universal Multimodal Task Load Estimation for Cross-Domain Generalization
Maximilian P. Oppelt, Andreas Foltyn, Nadine R. Lang-Richter +1
Task load detection is essential for optimizing human performance across diverse applications, yet current models often lack generalizability beyond narrow experimental domains. Wh…
Comprehensive Signal Quality Evaluation of a Wearable Textile ECG Garment: A Sex-Balanced Study
Maximilian P. Oppelt, Tobias S. Zech, Sarah H. Lorenz +5
We introduce a novel wearable textile-garment featuring an innovative electrode placement aimed at minimizing noise and motion artifacts, thereby enhancing signal fidelity in Elect…
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
Maximilian P Oppelt, Maximilian Riehl, Felix P Kemeth +1
An essential part for the accurate classification of electrocardiogram (ECG) signals is the extraction of informative yet general features, which are able to discriminate diseases.…