@article {849,
	title = {A Survey on Visualizations for Musical Data},
	journal = {Computer Graphics Forum},
	year = {2020},
	abstract = {Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non-expert users in data analysis and in gaining new knowledge.
This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the
visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill
specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute
novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing
with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our
overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in
the future.},
	doi = {10.1111/cgf.13905},
	author = {Khulusi, Richard and Kusnick, Jakob and Meinecke, Christofer and Christina Gillmann and Focht, Josef and J{\"a}nicke, Stefan}
}
@article {850,
	title = {Towards Closing the Gap of Medical Visualization Research and Clinical Daily Routine},
	journal = {EG Digital Library},
	year = {2020},
	abstract = {Medical visualization papers are constantly published throughout the last years, but many never make their way into clinical daily routine. In this manuscript we aim to examine the gap between visualization research and clinical daily routine and suggest a mechanism that can lead towards closing this gap. We first identify the actors involved in developing new medical visualization approaches and their different views in this process. Then we develop a software development process unifying all actors and their needs. In addition, we collect further barriers in the medical software development process.},
	author = {Maack, Robin and Saur, Dorothee and Hagen, Hans and Scheuermann, Gerik and Christina Gillmann}
}
@proceedings {880,
	title = {Visualization Framework for Assisting Interface Optimization of Hybrid Component Design},
	volume = {25},
	year = {2020},
	month = {09/2020},
	address = {T{\"u}bingen, Germany},
	abstract = {Reliable component design is one of structural mechanics{\textquoteright} main objectives. Especially for lightweight constructions, hybrid parts made of a multi-material combination are used. The design process for these parts often becomes very challenging. The critical section of such hybrid parts is usually the interface layer that often builds the weakest zone. In this paper, we study a hybrid part made of metal and carbon fiber-reinforced composite, where the metal insert is coated by a thermoplastic to decrease the jump in stiffness between the two primary structural materials. To prevent stress peaks in small volumes of the part , mechanical engineers aim to design functional elements at the thermoplastic interface, to homogenize the stress distribution. The placement of such load transmitting functional elements at the thermoplastics interface has a crucial impact on the overall stability and mechanical performance of the design. Resulting from this, mechanical engineers acquire large amounts of simulations outputting multi-field datasets, to examine the impact of differently designed load transmitting elements, their number, and positioning in the interface between metal and composite. In order to assist mechanical engineers in deeper exploration of the often numerous set of simulations, a framework based on visual analytics techniques was developed in close collaboration with engineers. To match their needs, a requirement analysis was performed, and visualizations were discussed steadily. We show how the presented framework helps engineers gaining novel insights to optimize the hybrid component based on the selected load transmitting elements.},
	doi = {https://doi.org/10.2312/vmv.20201188},
	url = {https://diglib.eg.org/handle/10.2312/vmv20201188},
	author = {Vanessa Kretzschmar and Christina Gillmann and Fabian G{\"u}nther and Markus Stommel and Gerik Scheuermann}
}
