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Fingerprint Dive into the research topics where Christina Gsaxner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Positron emission tomography Engineering & Materials Science
ground truth Physics & Astronomy
bladder Physics & Astronomy
surgery Physics & Astronomy
pattern recognition Physics & Astronomy
Surgery Engineering & Materials Science
learning Physics & Astronomy
Pattern recognition Engineering & Materials Science

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Research Output 2017 2019

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

Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment

Pepe, A., Trotta, G. F., Gsaxner, C., Schmalstieg, D., Wallner, J., Egger, J. & Bevilacqua, V., 2019, BMEiCON 2018 - 11th Biomedical Engineering International Conference. 8609921

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

surgery
pattern recognition
Surgery
Pattern recognition
earphones

PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning

Gsaxner, C., Pfarrkirchner, B., Lindner, L., Pepe, A., Roth, P. M., Wallner, J. & Egger, J., 2019.

Research output: Contribution to conferencePaperResearchpeer-review

Positron emission tomography
ground truth
bladder
learning
Tomography

Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans

Gsaxner, C., Pfarrkirchner, B., Lindner, L., Jakse, N., Wallner, J., Schmalstieg, D. & Egger, J., 12 Mar 2018, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. SPIE Press, SPIE - The International Society for Optical Engineering

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

Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset

Egger, J., Pfarrkirchner, B., Gsaxner, C., Lindner, L., Schmalstieg, D. & Wallner, J., 2018, Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC).

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

Lower jawbone data generation for deep learning tools under MeVisLab

Pfarrkirchner, B., Gsaxner, C., Lindner, L., Jakse, N., Wallner, J., Schmalstieg, D. & Egger, J., 2018.

Research output: Contribution to conferencePaperResearchpeer-review

Prizes

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