Darko Stern

Fingerprint Dive into the research topics where Darko Stern is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

3 Similar Profiles

Magnetic resonance imaging Engineering & Materials Science

Bone Engineering & Materials Science

Magnetic resonance Engineering & Materials Science

Tomography Engineering & Materials Science

Magnetic Resonance Spectroscopy Medicine & Life Sciences

Segmentation Mathematics

Bone and Bones Medicine & Life Sciences

Neural networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2018

16 Conference contribution
6 Chapter
6 Abstract
3 Article

Automatic Age Estimation and Majority Age Classification from Multi-Factorial MRI Data

Stern, D., Payer, C., Giuliani, N. & Urschler, M., 26 Sep 2018, (Accepted/In press) In : IEEE Journal of Biomedical and Health Informatics.

Research output: Contribution to journal › Article › Research › peer-review

Magnetic resonance imaging

Minors

Clavicle

Bone

Classifiers

Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks

Payer, C., Štern, D., Neff, T., Bischof, H. & Urschler, M., 16 Sep 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Springer Verlag Heidelberg, p. 3-11 9 p. (Lecture Notes in Computer Science; vol. 11071 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Recurrent Networks

Network architecture

Segmentation

Labels

Network Architecture

Multi-label Whole Heart Segmentation Using CNNs and Anatomical Label Configurations

Payer, C., Stern, D., Bischof, H. & Urschler, M., 15 Mar 2018, Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges. STACOM 2017. Pop, M. (ed.). Springer, Vol. 10663. p. 190-198 9 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Sparse-view CT Reconstruction using Wasserstein GANs

Thaler, F., Hammernik, K., Payer, C., Urschler, M. & Štern, D., 16 Sep 2018, Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer Verlag Heidelberg, Vol. 11074 LNCS. p. 75-82 8 p. (Lecture Notes in Computer Science ; vol. 11074).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Computed Tomography

Filtered Backprojection

Tomography

Image Reconstruction

Image reconstruction

Volumetric Reconstruction from a Limited Number of Digitally Reconstructed Radiographs Using CNNs

Thaler, F., Payer, C. & Stern, D., 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. 13-19 7 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Open Access

Activities 2017 2017

1 Talk at conference or symposium

Automated Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes based on Deep Learning

Martin Urschler (Speaker), Darko Stern (Contributor)

13 May 2017

Activity: Talk or presentation › Talk at conference or symposium › Science to science

Students

Darko Stern

Fingerprint Dive into the research topics where Darko Stern is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2018

Automatic Age Estimation and Majority Age Classification from Multi-Factorial MRI Data

Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks

Multi-label Whole Heart Segmentation Using CNNs and Anatomical Label Configurations

Sparse-view CT Reconstruction using Wasserstein GANs

Volumetric Reconstruction from a Limited Number of Digitally Reconstructed Radiographs Using CNNs

Activities 2017 2017

Automated Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes based on Deep Learning

Prizes

Honourable Mention Award

MICCAI MM-WHS Challenge Best Paper Award

OAGM Best Paper Award

Student Travel Award