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Christina Gsaxner

Dipl.-Ing., BSc

20172021
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Research Output 2017 2019

  • 7 Conference contribution
  • 3 Paper
  • 3 Article
  • 1 Master's Thesis
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Paper
2019

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
2018

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

TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches

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

Research output: Contribution to conferencePaperResearchpeer-review

Open Access