Jan Egger

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

20132022

Research output per year

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Publikationen

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Paper
2020

A comprehensive Workflow and Framework for immersive Virtual Endoscopy of dissected Aortae from CTA Data

Egger, J., Gunacker, S., Pepe, A., Melito, G. M., Gsaxner, C., Li, J., Ellermann, K. & Chen, X., 2020.

Publikation: KonferenzbeitragPaperForschungBegutachtung

IRIS: interactive real-time feedback image segmentation with deep learning

Pepe, A., Schussnig, R., Li, J., Gsaxner, C., Chen, X., Fries, T. P. & Egger, J., 2020.

Publikation: KonferenzbeitragPaperForschungBegutachtung

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.

Publikation: KonferenzbeitragPaperForschungBegutachtung

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.

Publikation: KonferenzbeitragPaperForschungBegutachtung

Multi-threaded integration of HTC-Vive and MeVisLab

Gunacker, S., Gall, M., Schmalstieg, D. & Egger, J., 2018.

Publikation: KonferenzbeitragPaperForschungBegutachtung

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.

Publikation: KonferenzbeitragPaperForschungBegutachtung

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.

Publikation: KonferenzbeitragPaperForschungBegutachtung