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Mario A. Cypko
Mario A. Cypko
Verified email at esa.int
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Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment
MA Cypko, M Stoehr, M Kozniewski, MJ Druzdzel, A Dietz, L Berliner, ...
International journal of computer assisted radiology and surgery 12, 1959-1970, 2017
492017
Visual verification of cancer staging for therapy decision support
MA Cypko, J Wojdziak, M Stoehr, B Kirchner, B Preim, A Dietz, HU Lemke, ...
Computer Graphics Forum 36 (3), 109-120, 2017
262017
Accessing patient information for probabilistic patient models using existing standards
J Gaebel, MA Cypko, HU Lemke
Health Informatics Meets eHealth, 107-112, 2016
192016
Digital patient models based on Bayesian networks for clinical treatment decision support
MA Cypko, M Stoehr
Minimally Invasive Therapy & Allied Technologies 28 (2), 105-119, 2019
162019
Web-tool to Support Medical Experts in Probabilistic Modelling Using Large Bayesian Networks With an Example of Hinosinusitis
MA Cypko, D Hirsch, L Koch, M Stoehr, G Strauss, K Denecke
MEDINFO 2015: eHealth-enabled Health, 259-263, 2015
162015
A guide for constructing bayesian network graphs of cancer treatment decisions
MA Cypko, M Stoehr, S Oeltze-Jafra, A Dietz, HU Lemke
MEDINFO 2017: Precision Healthcare through Informatics, 1355-1355, 2017
152017
A model of the decision-making process: therapy of laryngeal cancer
M Stoehr, M Cypko, K Denecke, HU Lemke, A Dietz
Int J CARS 9 (Suppl 1), 217-218, 2014
132014
User interaction with MEBNs for large patient-specific treatment decision models with an example for laryngeal cancer
M Cypko, M Stoehr, K Denecke, A Dietz, HU Lemke
Int J CARS 9 (Suppl 1), 2014
112014
Artificial intelligence-assisted care in medicine: A revolution or yet another blunt weapon? Potentials, challenges, and the future of implementing artificial intelligence (AI …
A Meyer, MA Cypko, C Eickhoff, V Falk, MY Emmert
European Heart Journal 40 (40), 3286-3289, 2019
92019
Building a Bayesian network to understand the interplay of variables in an epidemiological population-based study
P Multani, U Niemann, MA Cypko, JP Kuehn, H Völzke, S Oeltze-Jafra, ...
2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018
72018
Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support
J Gaebel, HG Wu, A Oeser, MA Cypko, M Stoehr, A Dietz, T Neumuth, ...
Artificial Intelligence in Medicine 104, 101842, 2020
62020
Considering Information Up-to-Dateness to Increase the Accuracy of Therapy Decision Support Systems.
J Gaebel, MA Cypko, S Oeltze-Jafra
GMDS, 217-221, 2017
62017
Web-based guiding of clinical experts through the modeling of treatment decision models using MEBN with an example of laryngeal cancer
M Cypko, M Stoehr, K Denecke
Int J CARS 10, 2014
62014
Quality management of therapy decision models based on Bayesian networks
MA Cypko, S Oeltze-Jafra, M Stoehr, A Dietz, L Berliner, HU Lemke
Proceeding of the 31st Conference for Comput Assist Radiol Surg 12, 2017
52017
Information integration for patient specific modelling using MEBNs: example of laryngeal carcinoma
HU Lemke, M Cypko, L Berliner
Int J CARS 7 (Suppl 1), 246-248, 2012
52012
Artificial intelligence in cardiac surgery
M Cypko, MY Emmert, V Falk, A Meyer
Der Chirurg 91, 235-239, 2020
42020
Development of a Clinical Decision Support System
MA Cypko, MA Cypko
Development of Clinical Decision Support Systems using Bayesian Networks …, 2020
42020
Visual Assistance in Clinical Decision Support.
J Müller, MA Cypko, A Oeser, M Stoehr, V Zebralla, S Schreiber, ...
EuroVis (Dirk Bartz Prize), 7-11, 2021
32021
Therapy decision support system using Bayesian networks for multidisciplinary treatment decisions
MA Cypko
32017
5 Der virtuelle Patient im Rahmen der Therapie-planung am Beispiel des Larynxkarzinoms
HU Lemke, M Cypko, L Berliner
Health Academy, 70, 2014
22014
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Articles 1–20