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Mario Amrehn M. Sc.Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-NürnbergTowards an optimized workflow in interventional medicine. Thesis7 Finished
Bachelor Theses
Werner, Anna: Design and Implementation of a Power Watershed based Image Segmentation Method for Hepatic Lesion Detection Advisor: Amrehn, Mario; Haderlein, Tino; Maier, Andreas Beginn: 20.06.2015 Haus, Richard: Implementation and Evaluation of a mobile VNC Client with Multitouch Transfer and Gesture Recognition System using the Android SDK Advisor: Amrehn, Mario; Hornegger, Joachim; Steidl, Stefan Beginn: 15.09.2014 Master Theses
Glasbrenner, Jens: Implementation and Evaluation of a Semi-Automatic Tumor Segmentation Method Advisor: Amrehn, Mario; Hornegger, Joachim; Stefan Britzen (Siemens Healthcare) Beginn: 01.12.2014 Stromer, Daniel: Investigation of methods for enlarging the lateral field-of-view of a C-arm CT 3D Scan Advisor: Amrehn, Mario; Haderlein, Tino; Maier, Andreas; Dipl.-Inf. P. Kugler (Siemens Healthcare GmbH) patrick.kugler@siemens.com Beginn: 20.06.2015 Gaube, Sven: Learning-Based Hepatic Lesion Segmentation for a User Guidance System to Support Embolization Treatments Advisor: Amrehn, Mario; Christlein, Vincent; Maier, Andreas; Steidl, Stefan Beginn: 21.06.2016 Kopte, Franziska: Liver Tumor Segmentation Using an Interactive Deep Learning Architecture Advisor: Amrehn, Mario; Haderlein, Tino; Maier, Andreas; Zhong, Xia Beginn: 01.08.2018 Lehle, Carina: Optimization and Evaluation of the Usability of a Touch-Enabled Semi-Automatic Hepatic Lesion Segmentation System Advisor: Amrehn, Mario; Haderlein, Tino; Maier, Andreas; Steidl, Stefan; Wirth, Markus Beginn: 21.06.2016 |