| In silico knockout studies of xenophagic capturing of Salmonella J Scheidel, L Amstein, J Ackermann, I Dikic, I Koch PLoS computational biology 12 (12), e1005200, 2016 | 22 | 2016 |
| 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 | 9 | 2021 |
| Quasi-steady-state analysis based on structural modules and timed Petri net predict system’s dynamics: the life cycle of the insulin receptor J Scheidel, K Lindauer, J Ackermann, I Koch Metabolites 5 (4), 766-793, 2015 | 9 | 2015 |
| 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, 67, 2021 | 8 | 2021 |
| Manatee invariants reveal functional pathways in signaling networks L Amstein, J Ackermann, J Scheidel, S Fulda, I Dikic, I Koch BMC systems biology 11 (1), 1-11, 2017 | 8 | 2017 |
| Bioinformatics analysis of whole slide images reveals significant neighborhood preferences of tumor cells in Hodgkin lymphoma J Hannig, H Schäfer, J Ackermann, M Hebel, T Schäfer, C Döring, ... PLOS Computational Biology 16 (1), e1007516, 2020 | 4 | 2020 |
| isiKnock: in silico knockouts in signaling pathways J Hannig, H Giese, B Schweizer, L Amstein, J Ackermann, I Koch Bioinformatics 35 (5), 892-894, 2019 | 4 | 2019 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| Application and Method Development in Computational Systems Biology: Petri Nets to Study Knockouts and Dynamics of" Salmonella" Infection J Hannig Johann Wolfgang Goethe-Universität Frankfurt am Main, 2018 | 1 | 2018 |
| The Disruption of Trust in the Digital Transformation Leading to Health 4.0 M Guckert, K Milanovic, J Hannig, D Simon, T Wettengl, D Evers, A Kleyer, ... Frontiers in Digital Health, 42, 2022 | | 2022 |
| Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways using Petri nets I Koch, LK Amstein, J Ackermann, J Hannig, I Dikic, S Fulda | | 2021 |
| 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 |
| 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 | | 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 | | 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 | | 2021 |
| Robust shipping date predictions inmanufacturing using high-level petri nets J Holznigenkemper, J Hannig, JN Keiner, B Seeger, M Guckert International Journal of Modelling and Simulation, 1-21, 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 |
| Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways using Petri nets LK Amstein, J Ackermann, J Hannig, I Ðikić, S Fulda, I Koch bioRxiv, 2021 | | 2021 |
Michael GuckertVerified email at mnd.thm.de
