
SELECTED WORK
Dr. Mario A. Cypko Findings
ARTICLE IN AN ACADEMIC JOURNAL
2022
Cypko MA, Timmermann L, Sauer IM, Müller-Birn C. Towards Human-Robotic Collaboration: Observing Teamwork of Experienced
Surgeons in Robotic-Assisted Surgery. Mensch und Computer, 2022.
2020
Gaebel J, Wu HG, Oeser A, Cypko MA, Stoehr M., Dietz A., ... & Oeltze-Jafra S. Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artificial Intelligence in Medicine, 2020, 104, 101842.
2020
Cypko, MA, Emmert, MY, Falk, V, & Meyer, A. Künstliche Intelligenz in der Herzchirurgie. Der Chirurg, 2020, 91(3), 235-239.
2019
Meyer A, Cypko MA, Eickhoff C, Falk V, Emmert MY. Artificial intelligence-assisted care in medicine: a revolution or yet another blunt weapon?. European heart journal, 2019, 40(40), 3286-3289.
2019
Cypko, MA & Stoehr, M. Digital patient models based on Bayesian networks for clinical treatment decision support. Minimally Invasive Therapy & Allied Technologies, 2019, 28(2), 105-119.
2017
Cypko MA, Wojdziak J, Stoehr M, Kirchner B, Preim B, Dietz A, Lemke HU, Oeltze-J afra S.
Visual Verification of Cancer Staging for Therapy Decision Support. C omputer Graphics Forum, 2017, 36(3): 109-120.
2017
Cypko MA, Stoehr M, Kozniewski M, Druzdzel M, Dietz A, Berliner L, Lemke HU.
Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment. Int J Comput Assist Radiol Surg, 2017, 12(11):1959-1970.
2016
Gaebel, J., Cypko, MA, Lemke, HU. Accessing Patient Information for Probabilistic Patient
Models Using Existing Standards. Health Informatics Meets E Health: Predictive Modeling in
Healthcare–From Prediction to Prevention, 2016, 223: 107-112.
2016
Koźniewski M, Cypko MA, Drużdżel MJ. How reliable is a measure of model reliability?
Bootstrap confidence intervals over validation results. Advances in Computer S cience
Research, 2016, 13: 27-41.
2015
Cypko MA, Hirsch D, Koch L, Stoehr M, Strauss G, Denecke K. Web-t ool to Support
Medical Experts in Probabilistic Modelling using Large Bayesian Networks with an Example
of Rhinosinusitis. Stud Health Technol Inform, 2015, 216: 259–263.