105 citations · 226 across the 5 of their papers we have counts for
5 papers
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…
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…
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen +8
Computer assisted technologies based on algorithmic software segmentation are an increasing topic of interest in complex surgical cases. However - due to functional instability, ti…
Computer-aided position planning of miniplates to treat facial bone defects
Jan Egger, Jürgen Wallner, Markus Gall +4
In this contribution, a software system for computer-aided position planning of miniplates to treat facial bone defects is proposed. The intra-operatively used bone plates have to…
HTC Vive MeVisLab integration via OpenVR for medical applications
Jan Egger, Markus Gall, Jürgen Wallner +5
Virtual Reality, an immersive technology that replicates an environment via computer-simulated reality, gets a lot of attention in the entertainment industry. However, VR has also…