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Department of Computer Science 5 Our Team Maier, Andreas Projects Lectures Publications Theses Curriculum Vitae Open Access Tutorials Web-Apps Links Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact +49 9131 85 27883 +49 9131 85 27270 09.138 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 » Maier, Andreas » Lectures Prof. Dr.-Ing. habil. Andreas Maier Head of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Unified Pattern Recognition for Speech and Image Processing Lectures Studiengänge: B.Sc. Informatik, M.Sc. Informatik Bachelor Informatik Lectures Gottschalk, Tristan Hoßbach, Julian Maier, Andreas Medical Image Processing for Diagnostic Applications (VHB-Kurs) [MIPDA] 4 SWS; 5 ECTS credits Praktikum Maier, Andreas Praktikum Mustererkennung [PME] 10 ECTS credits Master Informatik Lectures Breininger, Katharina Maier, Andreas Vesal, Sulaiman Deep Learning [DL] 2 SWS; 2,5 ECTS credits Dienstag, 8:30 - 10:00; Raum: H4 Seminar Maier, Andreas Hornegger, Joachim Kordon, Florian Seminar Advanced Algorithms in Medical Image Processing [SemAAMIP] 2 SWS; 5 ECTS credits Montag, 8:15 - 9:45; Raum: KH 1.021 Kolloquium Maier, Andreas Kolloquium Computed Tomography: Algebraic Reconstruction and Motion [CTARM] 2 SWS Freitag, 10:00 - 12:00; Raum: 09.150 Kuwert, Torsten Maier, Andreas Kolloquium Hybride Bildgebung [HB] 2 SWS Donnerstag, 17:00 - 19:00; Raum: Maier, Andreas Kolloquium Image Analysis [IMA] 2 SWS Dienstag, 16:00 - 18:00; Raum: 09.150 Laun, Frederik Nagel, Armin Maier, Andreas Kolloquium Magnetic Resonance Imaging [MRI] 2 SWS Donnerstag, 17:00 - 18:30; Raum: Maier, Andreas Kolloquium Population Modeling [PM] 2 SWS Dienstag, 10:00 - 12:00; Raum: 09.150 Master Project Maier, Andreas Projekt Mustererkennung [ProjME] 10 ECTS credits