Applied AI Lab
Applied AI Lab
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Jennifer Hannig
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Association of daily physical activity with pulmonary artery pressure in HFpEF and HFmrEF NYHA class III patients: a pilot trial—feasibility and first results
Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation
The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI
SIGNed explanations: Unveiling relevant features by reducing bias
Stochastic modeling of the dynamics of textitSalmonella infection of epithelial cells
Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways applying Petri net formalism and in silico knockout analysis
Robust Shipping Date Predictions in Manufacturing using High-level Petri Nets
The Disruption of Trust in the Digital Transformation Leading to Health 4.0
Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways using Petri nets
A Data Pipeline for Extraction and Processing of Electrocardiogram Recordings
An Ensemble Learning Approach to Detect Cardiac Abnormalities in ECG Data Irrespective of Lead Availability
A conceptual framework for establishing trust in real world intelligent systems
Detecting myocardial scar using electrocardiogram data and deep neural networks
Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis
An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models
Bioinformatics analysis of whole slide images reveals significant neighborhood preferences of tumor cells in Hodgkin lymphoma
isiKnock: textitin silico knockouts in signaling pathways
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