Jennifer Hannig

According to our database, Jennifer Hannig authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation.

Nils Gumpfer, Borislav Dinov, Samuel Sossalla, Michael Guckert, Jennifer Hannig

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI.

Simon T. Powers, Olena Linnyk, Michael Guckert, Jennifer Hannig, Jeremy Pitt, Neil Urquhart, Anikó Ekárt, Nils Gumpfer, The Anh Han, Peter R. Lewis, Stephen Marsh, Tim Weber

IEEE Technol. Soc. Mag., December, 2023

SIGNed explanations: Unveiling relevant features by reducing bias.

Nils Gumpfer, Joshua Prim, Till Keller, Bernhard Seeger, Michael Guckert, Jennifer Hannig

Inf. Fusion, November, 2023

2022

Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways applying Petri net formalism and in silico knockout analysis.

Leonie Amstein, Jörg Ackermann, Jennifer Hannig, Ivan Dikic, Simone Fulda, Ina Koch

PLoS Comput. Biol., 2022

The Disruption of Trust in the Digital Transformation Leading to Health 4.0.

Michael Guckert, Kristina Milanovic, Jennifer Hannig, David Simon, Tamara Wettengl, Daniel Evers, Arnd Kleyer, Till Keller, Jeremy Pitt

Frontiers Digit. Health, 2022

2021

A conceptual framework for establishing trust in real world intelligent systems.

Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart

Cogn. Syst. Res., 2021

An Ensemble Learning Approach to Detect Cardiac Abnormalities in ECG Data Irrespective of Lead Availability.

Tim Uhlemann, Joshua Prim, Nils Gumpfer, Dimitri Grün, Sebastian Wegener, Sabrina Krug, Jennifer Hannig, Till Keller, Michael Guckert

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

A Data Pipeline for Extraction and Processing of Electrocardiogram Recordings.

Joshua Prim, Tim Uhlemann, Nils Gumpfer, Dimitri Grün, Sebastian Wegener, Sabrina Krug, Jennifer Hannig, Till Keller, Michael Guckert

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models.

Nils Gumpfer, Joshua Prim, Dimitri Grün, Jennifer Hannig, Till Keller, Michael Guckert

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Bioinformatics analysis of whole slide images reveals significant neighborhood preferences of tumor cells in Hodgkin lymphoma.

Jennifer Hannig, Hendrik Schäfer, Jörg Ackermann, Marie Hebel, Tim Schäfer, Claudia Döring, Sylvia Hartmann, Martin-Leo Hansmann, Ina Koch

PLoS Comput. Biol., 2020

Identifying Heart Failure in ECG Data With Artificial Intelligence - A Meta-Analysis.

Dimitri Grün, Felix Rudolph, Nils Gumpfer, Jennifer Hannig, Laura K. Elsner, Beatrice von Jeinsen, Christian W. Hamm, Andreas Rieth, Michael Guckert, Till Keller

Frontiers Digit. Health, 2020

2019

isiKnock: in silico knockouts in signaling pathways.

Jennifer Hannig, Heiko Giese, Börje Schweizer, Leonie Amstein, Jörg Ackermann, Ina Koch

Bioinform., 2019

2018

Application and method development in computational systems biology: Petri nets to study knockouts and dynamics of Salmonella infection

Jennifer Hannig

PhD thesis, 2018