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Dr. Jennifer Hannig (née Scheidel)
Dr. Jennifer Hannig (née Scheidel)
Postdoc, Cognitive Information Systems, KITE - Kompetenzzentrum für Informationstechnologie
Verified email at kite.thm.de
Title
Cited by
Cited by
Year
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
302016
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
232021
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
232021
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
132020
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
132015
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
112017
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
62019
Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways applying Petri net formalism and in silico knockout analysis
LK Amstein, J Ackermann, J Hannig, I Đikić, S Fulda, I Koch
PLOS Computational Biology 18 (8), e1010383, 2022
52022
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
42022
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
32021
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
32021
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 Ekart, ...
Institute of Electrical and Electronics Engineers, 2023
22023
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
22021
Application and method development in computational systems biology: Petri nets to study knockouts and dynamics of Salmonella infection
J Hannig
Universitätsbibliothek Johann Christian Senckenberg, 2018
22018
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
12021
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
12021
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
12021
SIGNed explanations: Unveiling relevant features by reducing bias
N Gumpfer, J Prim, T Keller, B Seeger, M Guckert, J Hannig
Information Fusion, 101883, 2023
2023
Stochastic modeling of the dynamics of Salmonella infection of epithelial cells
J Hannig, A Beygi, J Ackermann, L Amstein, C Welsch, I Dikic, I Koch
bioRxiv, 2023.04. 02.535247, 2023
2023
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
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