| 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 | 51 | 2017 |
| 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 | 26 | 2017 |
| Accessing patient information for probabilistic patient models using existing standards J Gaebel, MA Cypko, HU Lemke Health Informatics Meets eHealth, 107-112, 2016 | 19 | 2016 |
| 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 | 16 | 2019 |
| 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 | 16 | 2015 |
| 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 | 15 | 2017 |
| 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 | 13 | 2014 |
| 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 | 11 | 2014 |
| 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 | 9 | 2019 |
| 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 | 7 | 2018 |
| 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 | 6 | 2020 |
| 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 | 6 | 2017 |
| 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 | 6 | 2014 |
| Development of a Clinical Decision Support System MA Cypko, MA Cypko Development of Clinical Decision Support Systems using Bayesian Networks …, 2020 | 5 | 2020 |
| 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 | 5 | 2017 |
| 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 | 5 | 2012 |
| Artificial intelligence in cardiac surgery M Cypko, MY Emmert, V Falk, A Meyer Der Chirurg 91, 235-239, 2020 | 4 | 2020 |
| 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 | 3 | 2021 |
| Therapy decision support system using Bayesian networks for multidisciplinary treatment decisions MA Cypko | 3 | 2017 |
| 5 Der virtuelle Patient im Rahmen der Therapie-planung am Beispiel des Larynxkarzinoms HU Lemke, M Cypko, L Berliner Health Academy, 70, 2014 | 2 | 2014 |
