105 citations · 226 across the 5 of their papers we have counts for
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cs.CV2019★ 19 cited
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
Christina Gsaxner, Peter M. Roth, Jürgen Wallner +1
We present an approach for fully automatic urinary bladder segmentation in CT images with artificial neural networks in this study. Automatic medical image analysis has become an i…
cs.CV2019★ 31 cited
Computed tomography data collection of the complete human mandible and valid clinical ground truth models
Jürgen Wallner, Irene Mischak, Jan Egger
Image-based algorithmic software segmentation is an increasingly important topic in many medical fields. Algorithmic segmentation is used for medical three-dimensional visualizatio…