Theses



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Department of Computer Science 5 Our Team Mayer, Markus Advanced Fundus Imaging for Early Detection of Eye Diseases Automated Retinal Layer Segmentation OCT Image Denoising Automated Glaucoma Classification using OCT Images OCTSEG Programs & Code Lectures Publications Theses Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstrasse 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Mayer, Markus » Theses Dipl.-Inf. Markus Mayer Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg The vision of my work is to develop image processing methods that provide new tools for ophthalmologists to ease the detection of glaucoma and related eye diseases. Theses 2 Finished Student Theses Angelova, Maya: Intensity normalization and blood vessel segmentation on OCT volume data Advisor: Tornow, Ralf-Peter; Hornegger, Joachim; Kraus, Martin; Mayer, Markus Beginn: 01.07.2011 Diploma Theses Kraus, Martin: Improving neighborhood consistency in OCT-Volume Scans Advisor: Bock, Rüdiger; Mayer, Markus; Ben Potsaid (MIT, Boston); Ralf Tornow (Augenklinik) Beginn: 18.05.2009