Ester J. Herrmann, Denise Lange, Jennifer Hannig, Gina Zimmer, Dimitri Gruen, Till Keller, Albin Edegran, Linda S. Johnson, Samuel Sossalla, Michael Guckert, Birgit Assmus.
(2024).
Association of daily physical activity with pulmonary artery pressure in HFpEF and HFmrEF NYHA class III patients: a pilot trial—feasibility and first results.
Clinical Research in Cardiology.
Simon T. Powers, Olena Linnyk, Michael Guckert, Jennifer Hannig, Jeremy Pitt, Neil Urquhart, Aniko Ekárt, Nils Gumpfer, The Anh Han, Peter R. Lewis, Stephen Marsh, Tim Weber.
(2023).
The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI.
IEEE Technology and Society Magazine.
Nils Gumpfer, Joshua Prim, Till Keller, Bernhard Seeger, Michael Guckert, Jennifer Hannig.
(2023).
SIGNed explanations: Unveiling relevant features by reducing bias.
Information Fusion.
Leonie K. Amstein, Jörg Ackermann, Jennifer Hannig, Ivan Đikić, Simone Fulda, Ina Koch.
(2022).
Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways applying Petri net formalism and in silico knockout analysis.
PLOS Computational Biology.
Jana Holznigenkemper, Jennifer Hannig, Jan-Niklas Keiner, Bernhard Seeger, Michael Guckert.
(2022).
Robust Shipping Date Predictions in Manufacturing using High-level Petri Nets.
International Journal of Modelling and Simulation.
Michael Guckert, Kristina Milanovic, Jennifer Hannig, David Simon, Tamara Wettengl, Daniel Evers, Arnd Kleyer, Till Keller, Jeremy Pitt.
(2022).
The Disruption of Trust in the Digital Transformation Leading to Health 4.0.
Frontiers in Digital Health.
S Wegener, D Gruen, J Prim, N Gumpfer, J S Wolter, C W Hamm, C Liebetrau, J Hannig, M Guckert, T Keller.
(2021).
Predicting mortality in cardiovascular patients using electrocardiogram data and artificial intelligence.
European Heart Journal.
N Gumpfer, S Wegener, J Prim, D Gruen, J Hannig, T Keller, M Guckert.
(2021).
On the importance of representative datasets in ECG-based artificial intelligence.
European Heart Journal.
S Wegener, T Schmidt, J Prim, N Gumpfer, D Gruen, J Hannig, M Guckert, T Keller.
(2021).
Detecting a broader spectrum of cardiac pathologies in electrocardiogram data by applying a deep neural network designed to detect a specific cardiac disease.
European Heart Journal.
J Prim, T Uhlemann, N Gumpfer, D Gruen, S Wegener, S Krug, J Hannig, T Keller, M Guckert.
(2021).
A data-pipeline processing electrocardiogram recordings for use in artificial intelligence algorithms.
European Heart Journal.
Tim Uhlemann, Joshua Prim, Nils Gumpfer, Dimitri Grun, Sebastian Wegener, Sabrina Krug, Jennifer Hannig, Till Keller, Michael Guckert.
(2021).
An Ensemble Learning Approach to Detect Cardiac Abnormalities in ECG Data Irrespective of Lead Availability.
2021 Computing in Cardiology (CinC).
Joshua Prim, Tim Uhlemann, Nils Gumpfer, Dimitri Grun, Sebastian Wegener, Sabrina Krug, Jennifer Hannig, Till Keller, Michael Guckert.
(2021).
A Data Pipeline for Extraction and Processing of Electrocardiogram Recordings.
2021 Computing in Cardiology (CinC).
Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart.
(2021).
A conceptual framework for establishing trust in real world intelligent systems.
Cognitive Systems Research.
Nils Gumpfer, Dimitri Grün, Jennifer Hannig, Till Keller, Michael Guckert.
(2021).
Detecting myocardial scar using electrocardiogram data and deep neural networks.
Biological Chemistry.
Dimitri Grün, Felix Rudolph, Nils Gumpfer, Jennifer Hannig, Laura K. Elsner, Beatrice Von Jeinsen, Christian W. Hamm, Andreas Rieth, Michael Guckert, Till Keller.
(2021).
Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis.
Frontiers in Digital Health.
Nils Gumpfer, Joshua Prim, Dimitri Grün, Jennifer Hannig, Till Keller, Michael Guckert.
(2021).
An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models.
Artificial Intelligence in Medicine.
Jennifer Hannig, Hendrik Schäfer, Jörg Ackermann, Marie Hebel, Tim Schäfer, Claudia Döring, Sylvia Hartmann, Martin-Leo Hansmann, Ina Koch.
(2020).
Bioinformatics analysis of whole slide images reveals significant neighborhood preferences of tumor cells in Hodgkin lymphoma.
PLOS Computational Biology.
Jennifer Hannig, Heiko Giese, Börje Schweizer, Leonie Amstein, Jörg Ackermann, Ina Koch.
(2019).
isiKnock: textitin silico knockouts in signaling pathways.
Bioinformatics.
Leonie Amstein, Jörg Ackermann, Jennifer Scheidel, Simone Fulda, Ivan Dikic, Ina Koch.
(2017).
Manatee invariants reveal functional pathways in signaling networks.
BMC Systems Biology.
Jennifer Scheidel, Leonie Amstein, Jörg Ackermann, Ivan Dikic, Ina Koch.
(2016).
In Silico Knockout Studies of Xenophagic Capturing of Salmonella.
PLOS Computational Biology.
Jennifer Scheidel, Klaus Lindauer, Jörg Ackermann, Ina Koch.
(2015).
Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System’s Dynamics: The Life Cycle of the Insulin Receptor.
Metabolites.