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)

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 (AIME, 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 (CinC, 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 (CinC, 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)

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)

SIGNed explanations: Unveiling relevant features by reducing bias. - Nils Gumpfer; Joshua Prim; Till Keller; Bernhard Seeger; Michael Guckert; Jennifer Hannig (Inf. Fusion, 2023)