EuroRVVV16
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Groningen, the Netherlands, 6-10 June 2016
Reproducibility in Medical Visualization
Uncertainty and Reproducibility in Medical Visualization
[full
paper ] [meta data
]
High-Performance Motion Correction of Fetal MRI
[full
paper ] [meta data
]
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible
[full
paper ] [meta data
]
Classification
Classifying Medical Projection Techniques based on Parameterization Attribute Preservation
[full
paper ] [meta data
]
Visual Analytics and Storytelling in Medical Visualization
Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?
[full
paper ] [meta data
]
Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple
Applications
[full
paper ] [meta data
]
Evaluation and Validation Methods for Medical Applications
Experiences on Validation of Multi-Component System Simulations for Medical Training
Applications
[full
paper ] [meta data
]
On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the
Aorta
[full
paper ] [meta data
]
An Introduction to Evaluation in Medical Visualization
[full
paper ] [meta data
]
Recent Submissions
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An Introduction to Evaluation in Medical Visualization
(The Eurographics Association, 2016)Medical visualization papers often deal with data that is interpreted by medical domain experts in a research or clinical context. Since visualizations are by definition designed to be interpreted by a human observer, often ... -
Experiences on Validation of Multi-Component System Simulations for Medical Training Applications
(The Eurographics Association, 2016)In the simulation of multi-component systems, we often encounter a problem with a lack of ground-truth data. This situation makes the validation of our simulation methods and models a difficult task. In this work we present ... -
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible
(The Eurographics Association, 2016)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 ... -
Classifying Medical Projection Techniques based on Parameterization Attribute Preservation
(The Eurographics Association, 2016)In many areas of medicine, visualization researchers can help by contributing to to task simplification, abstraction or complexity reduction. As these approaches, can allow a better workflow in medical environments by ... -
Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?
(The Eurographics Association, 2016)Visual analytics (VA) methods are valuable means for supporting the detection of diabetic neuropathy, the most common longterm complication of diabetes mellitus. We suggest two strategies for strengthening reliability, ... -
On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta
(The Eurographics Association, 2016)In this paper, we report on our experiences that we made during our contributions in the field of the visualization of flow characteristics. Mainly, we focused on the vortex flow classification in 4D PC-MRI as current ... -
Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple Applications
(The Eurographics Association, 2016)Provenance tracking for visual analysis workflows is still a challenge as especially interaction and collaboration aspects are poorly covered in existing realizations. Therefore, we propose a first prototype addressing ... -
High-Performance Motion Correction of Fetal MRI
(The Eurographics Association, 2016)Fetal Magnetic Resonance Imaging (MRI) shows promising results for pre-natal diagnostics. The detection of potentially lifethreatening abnormalities in the fetus can be difficult with ultrasound alone. MRI is one of the ... -
Uncertainty and Reproducibility in Medical Visualization
(The Eurographics Association, 2016)The medical visualization pipeline is affected by various sources of uncertainty. Many errors may occur and several assumptions are made in the various processing steps from the image acquisition to the rendering of the ... -
EuroRV3 2016: Frontmatter
(Eurographics Association, 2016)