Gerda L. Leinsinger

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In this paper a method for three-dimensional modeling of the human vocal tract based on T1-weighted MRI data sets is introduced. This includes the reconstruction of the vocal tract shape and the computation of the vocal tract midline. Reconstruction of the vocal tract shape is realized by three-dimensional region growing within the vocal tract after teeth(More)
We performed neural network clustering on dynamic contrast-enhanced perfusion magnetic resonance imaging time-series in patients with and without stroke. Minimal-free-energy vector quantization, self-organizing maps, and fuzzy c-means clustering enabled self-organized data-driven segmentation with respect to fine-grained differences of signal amplitude and(More)
OBJECTIVE While dimension reduction has been previously explored in computer aided diagnosis (CADx) as an alternative to feature selection, previous implementations of its integration into CADx do not ensure strict separation between training and test data required for the machine learning task. This compromises the integrity of the independent test set,(More)
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