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Christina Gsaxner

Dipl.-Ing., BSc

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  • 4 Similar Profiles
Surgery Engineering & Materials Science
Oral Surgery Medicine & Life Sciences
Positron emission tomography Engineering & Materials Science
Image segmentation Engineering & Materials Science
Tomography Engineering & Materials Science
Operating rooms Engineering & Materials Science
Tumors Engineering & Materials Science
Neural networks Engineering & Materials Science

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Research Output 2017 2019

  • 7 Conference contribution
  • 3 Paper
  • 3 Article
  • 1 Master's Thesis

A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation

Pepe, A., Trotta, G. F., Mohr-Ziak, P., Gsaxner, C., Wallner, J., Bevilacqua, V. & Egger, J., 4 Sep 2019, In : Journal of digital imaging. 32, 6, p. 1008-1018 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Oral Surgery
Helmet mounted displays
Operating rooms

A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery

Wallner, J., Schwaiger, M., Hochegger, K. M., Gsaxner, C., Zemann, W. & Egger, J., 2019, In : Computer methods and programs in biomedicine. 182, 23 p., 105102.

Research output: Contribution to journalArticleResearchpeer-review

Oral Surgery
Image segmentation
Software packages

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures

Sylos Labini, M., Gsaxner, C., Pepe, A., Wallner, J., Egger, J. & Bevilacqua, V., 2019, Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. Huang, Z-K., Hussain, A. & Huang, D-S. (eds.). Springer Verlag Heidelberg, p. 716-726 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11645 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Mixed Reality
Operating rooms

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

Gsaxner, C., Roth, P. M., Egger, J. & Wallner, J., 2019, In : PLoS ONE. p. e0212550

Research output: Contribution to journalArticleResearchpeer-review

neural networks
Learning algorithms
Urinary Bladder
Positron emission tomography

Learning from the Truth: Fully Automatic Ground Truth Generation for Training of Medical Deep Learning Networks

Gsaxner, C., Roth, P. M., Wallner, J. & Egger, J., 2019, Proceedings of the Joint ARW & OAGM Workshop 2019. Pichler, A., Roth, P. M., Slabatnig, R., Stübl, G. & Vincze, M. (eds.). Graz: Verlag der Technischen Universität Graz, p. 173-174

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
Image analysis
Positron emission tomography
Neural networks
Supervised learning


Best Paper Award

Antonio Pepe (Recipient), Gianpaolo F Trotta (Recipient), Christina Gsaxner (Recipient), Dieter Schmalstieg (Recipient), Jürgen Wallner (Recipient), Jan Egger (Recipient) & Vitoantonio Bevilacqua (Recipient), Nov 2018

Prize: Prizes / Medals / Awards

Projects 2018 2021