A
Alexander Bornik
Researcher at Graz University of Technology
Publications - 52
Citations - 1881
Alexander Bornik is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Augmented reality & Segmentation. The author has an hindex of 18, co-authored 50 publications receiving 1658 citations. Previous affiliations of Alexander Bornik include Medical University of Graz & German Cancer Research Center.
Papers
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Journal ArticleDOI
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
Tobias Heimann,B. van Ginneken,Martin Styner,Yulia Arzhaeva,V. Aurich,C. Bauer,A. Beck,C. Becker,Reinhard Beichel,G. Bekes,Fernando Bello,G. Binnig,Horst Bischof,Alexander Bornik,P. Cashman,Ying Chi,A. Cordova,Benoit M. Dawant,Marta Fidrich,Jacob D. Furst,D. Furukawa,Lars Grenacher,Joachim Hornegger,D. Kainmuller,Richard I. Kitney,H. Kobatake,Hans Lamecker,T. Lange,Jeongjin Lee,B. Lennon,Rui Li,Senhu Li,Hans-Peter Meinzer,Gábor Németh,Daniela Raicu,A.-M. Rau,E.M. van Rikxoort,Mikael Rousson,L. Rusko,K.A. Saddi,G. Schmidt,D. Seghers,Akinobu Shimizu,Pieter Slagmolen,Erich Sorantin,G. Soza,R. Susomboon,Jonathan M. Waite,A. Wimmer,Ivo Wolf +49 more
TL;DR: A comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.
Journal ArticleDOI
Liver Surgery Planning Using Virtual Reality
TL;DR: LiverPlanner is a virtual liver surgery planning system that uses high-level image analysis algorithms and virtual reality technology to help physicians find the best resection plan for each individual patient.
Liver Segmentation in CT Data: A Segmentation Refinement Approach
TL;DR: This paper presents a novel segmentation scheme based on a true 3D segmentation refinement concept utilizing a hybrid desktop/virtual reality user interface and demonstrates the robustness of the method on ten contrast enhanced liver CT scans.
Proceedings ArticleDOI
Liver segment approximation in CT data for surgical resection planning
Reinhard Beichel,Thomas Pock,Christian Janko,Roman B. Zotter,Bernhard Reitinger,Alexander Bornik,Kálmán Palágyi,Erich Sorantin,Georg Werkgartner,Horst Bischof,Milan Sonka +10 more
TL;DR: In this article, a robust method for portal vein tree segmentation is proposed to facilitate the surgical planning of liver tumor resections, which requires detailed 3D understanding of the complex arrangement of vasculature, liver segments and tumors.
Proceedings ArticleDOI
A Hybrid User Interface for Manipulation of Volumetric Medical Data
TL;DR: A novel system for interactive visualization and manipulation of medical datasets for surgery planning based on a hybrid VR / Tablet PC user interface to facilitate efficient visual inspection and correction of surface models generated by automated segmentation algorithms based on x-ray computed tomography scans.