Research output per year
Research output per year
Project Details
Description
Age estimation of children and young adolescents is an important topic in both clinical and forensic
medicine. Clinical interest traditionally focuses on applications in endocrinology and orthopedics for
treatment and surgical intervention planning in children with growth disorders. Together with modern medical image analysis techniques, a fully automated, radiation free age estimation procedure is possible using Magnetic Resonce Tomography data, promising objective, repeatable results and improved estimation accuracy, which determines the project hypothesis of FAME.
| Status | Finished |
|---|---|
| Effective start/end date | 1/07/15 → 31/12/18 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Automatic Age Estimation and Majority Age Classification from Multi-Factorial MRI Data
Stern, D., Payer, C., Giuliani, N. & Urschler, M., Jul 2019, In: IEEE Journal of Biomedical and Health Informatics. 23, 4, p. 1392-1403Research output: Contribution to journal › Article › peer-review
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Altersschätzung im Strafverfahren?!
Pfeifer, M., Urschler, M., Kerbacher, S. & Riener-Hofer, R., Mar 2018, In: Journal für Strafrecht. 5, 2, p. 124-128 5 p.Research output: Contribution to journal › Article › peer-review
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Generative Adversarial Networks to Synthetically Augment Data for Deep Learning based Image Segmentation
Neff, T., Payer, C., Štern, D. & Urschler, M., May 2018, Proceedings of the OAGM Workshop 2018: Medical Image Analysis. Welk, M., Roth, P. M. & Urschler, M. (eds.). Verlag der Technischen Universität Graz, p. 22-29 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access
Prizes
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MICCAI MM-WHS Challenge Best Paper Award
Payer, C. (Recipient), Stern, D. (Recipient), Bischof, Horst (Recipient) & Urschler, M. (Recipient), 10 Sep 2017
Prize: Prizes / Medals / Awards
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OAGM Best Paper Award
Neff, Thomas (Recipient), Payer, C. (Recipient), Stern, D. (Recipient) & Urschler, M. (Recipient), 11 May 2017
Prize: Prizes / Medals / Awards
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Activities
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Automated Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes based on Deep Learning
Martin Urschler (Speaker) & Darko Stern (Contributor)
13 May 2017Activity: Talk or presentation › Talk at conference or symposium › Science to science
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8. Thementag Recht und IT
Martin Urschler (Speaker)
24 Jun 2016Activity: Talk or presentation › Invited talk › Science to science
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The University of Queensland ITEE Research Seminar
Martin Urschler (Speaker)
24 Aug 2016Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science