Marco Feuerstein
Technische Universität München
44 Papers
325 Citations
Marco Feuerstein is an academic researcher from Technische Universität München. The author has contributed to research in topics: Augmented reality & Image registration. The author has an hindex of 21, co-authored 44 publications. Previous affiliations of Marco Feuerstein include Nagoya University.
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Papers
Advanced Medical Displays: A Literature Review of Augmented Reality
TL;DR: This paper not only reviews the related literature but also establishes the relationship between subsets of this body of work in medical augmented reality and discusses the remaining challenges for this young and active multidisciplinary research community.
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Extraction of Airways From CT (EXACT'09)
Pechin Lo,Bram van Ginneken,Joseph M. Reinhardt,Tarunashree Yavarna,Pim A. de Jong,Benjamin Irving,Catalin Fetita,Margarete Ortner,Romulo Pinho,Jan Sijbers,Marco Feuerstein,Anna Fabijańska,Christian Bauer,Reinhard Beichel,Carlos S. Mendoza,Rafael Wiemker,Jaesung Lee,Anthony P. Reeves,Silvia Born,Oliver Weinheimer,Eva M. van Rikxoort,Juerg Tschirren,Ken Mori,Benjamin L. Odry,David P. Naidich,Ieneke J. C. Hartmann,Eric A. Hoffman,Mathias Prokop,Jesper Holst Pedersen,Marleen de Bruijne +29 more
TL;DR: A fusion scheme that obtained superior results is presented, demonstrating that there is complementary information provided by the different algorithms and there is still room for further improvements in airway segmentation algorithms.
Navigation in endoscopic soft tissue surgery: perspectives and limitations.
TL;DR: A balancing of the key challenges and possible benefits of endoscopic navigation refines the perspectives of this increasingly important discipline of computer-aided medical procedures.
The Virtual Mirror: A New Interaction Paradigm for Augmented Reality Environments
TL;DR: The concept of a tangible/controllable virtual mirror for medical AR applications intuitively augments the direct view of the surgeon with all desired views on volumetric medical imaging data registered with the operation site without moving around the operating table or displacing the patient.
Selective image similarity measure for bronchoscope tracking based on image registration.
Daisuke Deguchi,Kensaku Mori,Marco Feuerstein,Takayuki Kitasaka,Calvin R. Maurer,Yasuhito Suenaga,Hirotsugu Takabatake,Masaki Mori,Hiroshi Natori +8 more
TL;DR: A selective method of measurement for computing image similarities based on characteristic structure extraction is proposed and applied to flexible endoscope navigation and revealed that bronchoscope tracking using the proposed method could track up to 1600 consecutive bronchoscopic images without external position sensors.
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