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Lydia Alice Lindner

BSc, Dipl.-Ing.

20182019
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Research Output 2018 2019

  • 3 Paper
  • 2 Conference contribution

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., 14 Jan 2019

Research output: Contribution to conferencePaperResearchpeer-review

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

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