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  • Jan Egger

Multi-threaded integration of HTC-Vive and MeVisLab

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

Research output: Contribution to conferencePaperResearchpeer-review

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

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

Segmentierung medizinischer Bilddaten und bildgestützte intraoperative Navigation

Egger, J., Dec 2016, 304 p.

Research output: ThesisHabilitationResearch

Open Access
File

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

US-Cut: interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitions

Egger, J., Voglreiter, P., Hofmann, M., Chen, X., Zoller, W. G., Schmalstieg, D., Hann, A. & Dokter, M., 2016, Proc. SPIE. Vol. 9790. p. 97901C-97901C-6

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

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation

Lindner, L., Narnhofer, D., Weber, M., Gsaxner, C., Egger, J. & Kolodziej, M., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, p. 6724-6729 6 p.

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

Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application

Egger, J., Nimsky, C. & Chen, X., 2017, In : SAGE open medicine. 5, p. 2050312117740984

Research output: Contribution to journalArticleResearchpeer-review