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ORCIDChristian Jaremenko
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2020 – today
- 2020
[b1]Christian Jaremenko:
Determination and Enhancement of the Forming Limit Curve for Sheet Metal Materials using Machine Learning (Bestimmung und Erweiterung der Grenzformänderungskurve für Blechwerkstoffe mittels Maschinellem Lernen). University of Erlangen-Nuremberg, Germany, 2020- [i2]Leonid Mill, David Wolff, Nele Gerrits, Patrick Philipp, Lasse Kling, Florian Vollnhals
, Andrew Ignatenko, Christian Jaremenko, Yixing Huang, Olivier De Castro, Jean-Nicolas Audinot, Inge Nelissen, Tom Wirtz, Andreas Maier, Silke H. Christiansen:
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. CoRR abs/2011.10505 (2020)
2010 – 2019
- 2017
- [c4]Kim Vo, Christian Jaremenko, Christopher Bohr, Helmut Neumann, Andreas K. Maier:
Automatic Classification and Pathological Staging of Confocal Laser Endomicroscopic Images of the Vocal Cords. Bildverarbeitung für die Medizin 2017: 312-317 - [c3]Christian Jaremenko, Xiaolin Huang, Emanuela Affronti, Marion Merklein, Andreas K. Maier:
Sheet metal forming limits as classification problem. MVA 2017: 113-116 - [i1]Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas K. Maier:
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. CoRR abs/1703.01622 (2017) - 2015
- [c2]Christian Jaremenko, Andreas K. Maier, Stefan Steidl, Joachim Hornegger, Nicolai Oetter, Christian Knipfer, Florian Stelzle, Helmut Neumann:
Classification of Confocal Laser Endomicroscopic Images of the Oral Cavity to Distinguish Pathological from Healthy Tissue. Bildverarbeitung für die Medizin 2015: 479-485 - 2013
- [c1]Patrick Kugler, Christian Jaremenko, Johannes Schlachetzki, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier:
Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests. EMBC 2013: 5781-5784
Coauthor Index
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