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Uncertainty-aware Ensemble of Classifiers for Segmenting Brain MRI Data
(The Eurographics Association, 2014)
Estimating and visualizing uncertainty in medical image segmentation has become an active research area due to the necessity of making medical experts aware of possibly wrong segmentation decisions. Still, to our knowledge ...
On the Value of Multi-Volume Visualization for Preoperative Planning of Cerebral AVM Surgery
(The Eurographics Association, 2012)
Surgical treatment of cerebral arteriovenous malformations (AVMs) requires thourough preoperative planning for the intervening neurosurgeon. The goal of such planning is to gain a precise understanding of the patho-anatomy ...
Sketch-based Image-independent Editing of 3D Tumor Segmentations using Variational Interpolation
(The Eurographics Association, 2012)
In the past years sophisticated automatic segmentation algorithms for various medical image segmentation problems have been developed. However, there are always cases where automatic algorithms fail to provide an acceptable ...
Automatic Hepatocyte Quantification from Histological Images: Comparing Pre-smoothing filters
(The Eurographics Association, 2008)
Quantity of hepatocytes in the liver can reveal a lot of information for medical researchers. In our project, it is needed for evaluation of the liver regeneration rate. In this paper, we present a processing pipeline for ...
High-Quality Multimodal Volume Visualization of Intracerebral Pathological Tissue
(The Eurographics Association, 2008)
Parallel visualization of multiple MRI sequences in 2D is a standard method for exploration of pathological structures for neurosurgery planning. In this work our aim is to support visualization techniques that allow medical ...
Uncertainty Estimation and Visualization for Multi-modal Image Segmentation
(The Eurographics Association, 2015)
Multi-modal imaging allows for the integration of complementary information from multiple medical imaging modalities for an improved analysis. The multiple information channels may lead to a reduction of the uncertainty ...