OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible (Unknown language)

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In this paper, we discuss the issues of the current state of the art in optical coherence tomography with respect to reproducibility. We present our findings about the internal computations and data storage methods of the currently used devices. The gained knowledge was used to implement a tool to read a variety of OCT file formats and reproduce the visualizations used in daily clinical routine.

Table of contents conference proceedings

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Uncertainty and Reproducibility in Medical Visualization
Linsen, Lars / Al-Taie, Ahmed / Ristovski, Gordan / Preusser, Tobias / Hahn, Horst K. | 2016
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OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible
Rosenthal, Paul / Ritter, Marc / Kowerko, Danny / Heine, Christian | 2016
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Kreiser, Julian / Ropinski, Timo | 2016
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Röhlig, Martin / Stachs, Oliver / Schumann, Heidrun | 2016
Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple Applications
Hänel, Claudia / Khatami, Mohammad / Kuhlen, Torsten W. / Weyers, Benjamin | 2016
Experiences on Validation of Multi-Component System Simulations for Medical Training Applications
Law, Yuen C. / Weyers, Benjamin / Kuhlen, Torsten W. | 2016
On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta
Meuschke, Monique / Köhler, Ben / Preim, Bernhard / Lawonn, Kai | 2016
An Introduction to Evaluation in Medical Visualization
Smit, Noeska / Lawonn, Kai | 2016