Mario A. Cypko

According to our database, Mario A. Cypko authored at least 23 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Large language models with retrieval-augmented generation enhance expert modelling of Bayesian network for clinical decision support.

Mario A. Cypko, Muhammad Agus Salim, Aditya Kumar, Leonard Berliner, Andreas Dietz, Matthaeus Stoehr, Oliver Amft

Int. J. Comput. Assist. Radiol. Surg., February, 2026

Learning temporal embeddings from electronic health records of chronic kidney disease patients.

Aditya Kumar, Mario A. Cypko, Oliver Amft

CoRR, January, 2026

Temporal Fusion Nexus: A task-agnostic multi-modal embedding model for clinical narratives and irregular time series in post-kidney transplant care.

Aditya Kumar, Simon Rauch, Mario A. Cypko, Marcel Ganesh Naik, Matthieu-P. Schapranow, Aadil Rashid, Fabian Halleck, Bilgin Osmanodja, Roland Roller, Lars Pape, Klemens Budde, Mario Schiffer, Oliver Amft

CoRR, January, 2026

ViRAS: Design Artifacts to Explore Socio-Material Configurations through a Research-through-Design Approach in Robot-Assisted Surgery.

Peter Sörries, Anna Schaeffner, Dominic Eger Domingos, Mario A. Cypko, Lea Timmermann, Moritz Queisner, Igor M. Sauer, Carola Zwick, Claudia Müller-Birn

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

A multi-view validation framework for LLM-generated knowledge graphs of chronic kidney disease.

Aditya Kumar, Dilpreet Singh, Mario A. Cypko, Oliver Amft

Int. J. Comput. Assist. Radiol. Surg., December, 2025

A methodological framework for integrating model-guided medicine and multidimensional information management systems: application in anti-aging healthcare.

Hugo Herrero Antón de Vez, Esteban Felez, Mario A. Cypko

Int. J. Comput. Assist. Radiol. Surg., November, 2025

Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts.

Aditya Kumar, Simon Rauch, Mario A. Cypko, Oliver Amft

CoRR, February, 2025

Digital Health for Space: Towards Prevention, Training, Empowerment, and Autonomy.

Mario A. Cypko, Ulrich Straube, Russell J. Andrews, Oliver Amft

Proceedings of the Advancing Human-Computer Interaction for Space Exploration, 2025

2024

Ladies and Gentlemen! This is no humbug. Why Model-Guided Medicine will become a main pillar for the future healthcare system.

Mario A. Cypko, Dirk Wilhelm

Int. J. Comput. Assist. Radiol. Surg., October, 2024

2022

Towards Human-Robotic Collaboration: Observing Teamwork of Experienced Surgeons in Robotic-Assisted Surgery.

Mario A. Cypko, Lea Timmermann, Igor M. Sauer, Claudia Müller-Birn

Proceedings of the MuC '22: Mensch und Computer 2022, Darmstadt Germany, September 4, 2022

2021

Visual Assistance in Clinical Decision Support.

Juliane Müller, Mario A. Cypko, Alexander Oeser, Matthaeus Stoehr, Veit Zebralla, Stefanie Schreiber, Susanne Wiegand, Andreas Dietz, Steffen Oeltze-Jafra

Proceedings of the 23rd Eurographics Conference on Visualization, 2021

2020

Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support.

Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A. Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, Steffen Oeltze-Jafra

Artif. Intell. Medicine, 2020

Development of Clinical Decision Support Systems using Bayesian Networks - With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer

Mario A. Cypko

Springer, ISBN: 978-3-658-32593-0, 2020

2018

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study.

Paras Multani, Uli Niemann, Mario A. Cypko, Jens-Peter Kuehn, Henry Völzke, Steffen Oeltze-Jafra, Myra Spiliopoulou

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

Therapy Decision Support System using Bayesian Networks for Multidisciplinary Treatment Decisions

Mario A. Cypko

PhD thesis, 2017

Visual Verification of Cancer Staging for Therapy Decision Support.

Mario A. Cypko, Jan Wojdziak, Matthaeus Stoehr, Bettina Kirchner, Bernhard Preim, Andreas Dietz, Heinz U. Lemke, Steffen Oeltze-Jafra

Comput. Graph. Forum, 2017

Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment.

Mario A. Cypko, Matthaeus Stoehr, Marcin Kozniewski, Marek J. Druzdzel, Andreas Dietz, Leonard Berliner, Heinz U. Lemke

Int. J. Comput. Assist. Radiol. Surg., 2017

Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support.

Jan Gaebel, Mario A. Cypko, Steffen Oeltze-Jafra

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

A Guide for Constructing Bayesian Network Graphs of Cancer Treatment Decisions.

Mario A. Cypko, Matthaeus Stoehr, Steffen Oeltze-Jafra, Andreas Dietz, Heinz U. Lemke

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Considering Information Up-to-Dateness to Increase the Accuracy of Therapy Decision Support Systems.

Jan Gaebel, Mario A. Cypko, Steffen Oeltze-Jafra

Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017

2016

Accessing Patient Information for Probabilistic Patient Models Using Existing Standards.

Jan Gaebel, Mario A. Cypko, Heinz U. Lemke

Proceedings of the Health Informatics Meets eHealth - Predictive Modeling in Healthcare - From Prediction to Prevention, 2016

2015

Web-tool to Support Medical Experts in Probabilistic Modelling Using Large Bayesian Networks With an Example of Hinosinusitis.

Mario A. Cypko, David Hirsch, Lucas Koch, Matthaeus Stoehr, Gero Strauss, Kerstin Denecke

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2014

3D++ Visualisation of MEBN Graphs and Screen Representations of Patient Models (PIXIE II).

Heinz U. Lemke, Mario A. Cypko, Dave Warner, Leonard Berliner

Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014