| Identifying Heart Failure in ECG Data with Artificial Intelligence-a Meta-Analysis D Grün, F Rudolph, N Gumpfer, J Hannig, LK Elsner, B Von Jeinsen, ... Frontiers in Digital Health 2, 67, 2021 | 29 | 2021 |
| Detecting myocardial scar using electrocardiogram data and deep neural networks N Gumpfer, D Grün, J Hannig, T Keller, M Guckert Biological Chemistry 402 (8), 911-923, 2021 | 24 | 2021 |
| The stuff we swim in: regulation alone will not lead to justifiable trust in AI ST Powers, O Linnyk, M Guckert, J Hannig, J Pitt, N Urquhart, A Ekárt, ... IEEE Technology and Society Magazine 42 (4), 95-106, 2023 | 6 | 2023 |
| A conceptual framework for establishing trust in real world intelligent systems M Guckert, N Gumpfer, J Hannig, T Keller, N Urquhart Cognitive Systems Research 68, 143-155, 2021 | 5 | 2021 |
| SIGNed explanations: Unveiling relevant features by reducing bias N Gumpfer, J Prim, T Keller, B Seeger, M Guckert, J Hannig Information Fusion 99, 101883, 2023 | 3 | 2023 |
| A data-pipeline processing electrocardiogram recordings for use in artificial intelligence algorithms J Prim, T Uhlemann, N Gumpfer, D Gruen, S Wegener, S Krug, J Hannig, ... European Heart Journal 42 (Supplement_1), ehab724. 3041, 2021 | 3 | 2021 |
| An ensemble learning approach to detect cardiac abnormalities in ECG data irrespective of lead availability T Uhlemann, J Prim, N Gumpfer, D Grün, S Wegener, S Krug, J Hannig, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 2 | 2021 |
| Detecting a broader spectrum of cardiac pathologies in electrocardiogram data by applying a deep neural network designed to detect a specific cardiac disease S Wegener, T Schmidt, J Prim, N Gumpfer, D Gruen, J Hannig, M Guckert, ... European Heart Journal 42 (Supplement_1), ehab724. 3063, 2021 | 1 | 2021 |
| A Data Pipeline for Extraction and Processing of Electrocardiogram Recordings J Prim, T Uhlemann, N Gumpfer, D Grün, S Wegener, S Krug, J Hannig, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 1 | 2021 |
| Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation N Gumpfer, B Dinov, S Sossalla, M Guckert, J Hannig International Conference on Artificial Intelligence in Medicine, 350-361, 2024 | | 2024 |
| On the importance of representative datasets in ECG-based artificial intelligence N Gumpfer, S Wegener, J Prim, D Gruen, J Hannig, T Keller, M Guckert European Heart Journal 42 (Supplement_1), ehab724. 3060, 2021 | | 2021 |
| Predicting mortality in cardiovascular patients using electrocardiogram data and artificial intelligence S Wegener, D Gruen, J Prim, N Gumpfer, JS Wolter, CW Hamm, ... European Heart Journal 42 (Supplement_1), ehab724. 1132, 2021 | | 2021 |
| An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models N Gumpfer, J Prim, D Grün, J Hannig, T Keller, M Guckert International Conference on Artificial Intelligence in Medicine, 384-388, 2021 | | 2021 |
Dr. Jennifer Hannig (née Scheidel)Junior Research Group Leader "TimeXAI", KITE, Technische Hochschule Mittelhessen在 kite.thm.de 的电子邮件经过验证
