Jan Egger

Dr.rer.physiol. Priv.-Doz. Dr.rer.nat.

20132022
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Research Output 2014 2019

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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

Multi-threaded integration of HTC-Vive and MeVisLab

Gunacker, S., Gall, M., 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
2017

In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine

Egger, J., Chen, X., Bettac, L., Haenle, M. M., Graeter, T., Zoller, W., Schmalstieg, D. & Hann, A., 2017.

Research output: Contribution to conferencePaperResearchpeer-review