@article{Mittenentzwei2025,

title = {AI-based character generation for disease stories: a case study using epidemiological data to highlight preventable risk factors},

author = {Sarah Mittenentzwei and Laura A Garrison and Beatrice Budich and Kai Lawonn and Alexander Dockhorn and Bernhard Preim and Monique Meuschke},

url = {https://vis.uib.no/wp-content/papercite-data/pdfs/mittenentzwei2025icom.pdf},

doi = {https://doi.org/10.1515/icom-2024-0041},

year  = {2025},

date = {2025-04-16},

journal = {i-com},

volume = {24},

number = {1},

pages = {259-281},

abstract = {Data-driven storytelling has grown significantly, becoming prevalent in various fields, including healthcare. In medical narratives, characters are crucial for engaging audiences, making complex medical information accessible, and potentially influencing positive behavioral and lifestyle changes. However, designing characters that are both educational and relatable to effectively engage audiences is challenging. We propose a GenAI-assisted pipeline for character design in data-driven medical stories, utilizing Stable Diffusion, a deep learning text-to-image model, to transform data into visual character representations. This approach reduces the time and artistic skills required to create characters that reflect the underlying data. As a proof-of-concept, we generated and evaluated two characters in a crowd-sourced case study, assessing their authenticity to the underlying data and consistency over time. In a qualitative evaluation with four experts with knowledge in design and health communication, the characters were discussed regarding their quality and refinement opportunities. The characters effectively conveyed various aspects of the data, such as emotions, age, and body weight. However, generating multiple consistent images of the same character proved to be a significant challenge. This underscores a key issue in using generative AI for character creation: the limited control designers have over the output.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mittenentzwei2024c,

title = {Visually communicating pathological changes: A case study on the effectiveness of phong versus outline shading},

author = {Sarah Mittenentzwei and Sophie Mlitzke and Darija Grisanova and Kai Lawonn and Bernhard Preim and Monique Meuschke},

url = {https://www.sciencedirect.com/science/article/pii/S0097849324001584?via%3Dihub},

doi = {https://doi.org/10.1016/j.cag.2024.104023},

year  = {2024},

date = {2024-10-01},

journal = {Computers & Graphics 2024},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mittenentzwei_2023_CGF,

title = {Do Disease Stories need a Hero? Effects of Human Protagonists on a Narrative Visualization about Cerebral Small Vessel Disease},

author = {Sarah Mittenentzwei and Veronika Weiß and Steffi Schreiber and Laura Garrison and Stefan Bruckner and M. Pfister and Bernhard Preim and Monique Meuschke},

url = {https://vis.uib.no/wp-content/papercite-data/pdfs/garrison-diseasestories.pdf},

doi = {https://doi.org/10.1111/cgf.14817},

year  = {2023},

date = {2023-06-19},

journal = {Computer Graphics Forum},

volume = {42},

number = {3},

pages = {123-135},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mittenentzwei2023communicating,

title = {Communicating Pathologies and Growth to a General Audience},

author = {Sarah Mittenentzwei and Sophie Mlitzke and Kai Lawonn and Bernhard Preim and Monique Meuschke},

url = {https://diglib.eg.org/bitstream/handle/10.2312/vcbm20231215/075-085.pdf},

doi = {https://doi.org/10.2312/vcbm.20231215},

year  = {2023},

date = {2023-01-01},

journal = {Visual Computing for Biology and Medicine},

publisher = {The Eurographics Association},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mittenentzwei2023CG,

title = {Investigating User Behavior in Slideshows and Scrollytelling as Narrative Genres in Medical Visualization},

author = {Sarah Mittenentzwei and Laura Ann Garrison and Eric Mörth and Kai Lawonn and Stefan Bruckner and Bernhard Preim and Monique Meuschke},

url = {https://www.sciencedirect.com/science/article/pii/S0097849323001061},

doi = {https://doi.org/10.1016/j.cag.2023.06.011},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Computers & Graphics},

volume = {114},

pages = {229-238},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Meuschke2022_CAG,

title = {Narrative medical visualization to communicate disease data},

author = {Monique Meuschke and Laura A Garrison and Noeska N Smit and Benjamin Bach and Sarah Mittenentzwei and Veronika Weiß and Stefan Bruckner and Kai Lawonn and Bernhard Preim},

url = {https://www.sciencedirect.com/science/article/pii/S009784932200139X 

 

https://visualstories.cs.ovgu.de/},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Computers & Graphics},

volume = {107},

pages = {144-157},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sprengel_JCARS_2021,

title = {Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application},

author = {Ulrike Sprengel and Patrick Saalfeld and Janneck Stahl and Sarah Mittenentzwei and Moritz Drittel and Benjamin Behrendt and N. Kaneko and D. Behme and Philipp Berg and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/content/pdf/10.1007/s11548-021-02532-9.pdf},

doi = {10.1007/s11548-021-02532-9},

year  = {2021},

date = {2021-12-14},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {16},

pages = {2119-2127},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2021_Mittenentzwei_CARS,

title = {Definition and Extraction of 2D Shape Indices of Intracranial Aneurysm Necks for Rupture Risk Assessment},

author = {Sarah Mittenentzwei and Oliver Beuing and Belal Neyazi and Erol I Sandalcioglu and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/content/pdf/10.1007/s11548-021-02469-z.pdf},

doi = {10.1007/s11548-021-02469-z},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

pages = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {article}

}