Department of Computer Science 5

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+49 9131 85 28977

+49 9131 85 27270

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Universität Erlangen-Nürnberg
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
Germany

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Dept. of Computer Sc. » Pattern Recognition » Our Team » Meister, Felix » Thesis

Felix Meister M. Sc.

Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Thesis

1 Running

Bachelor Theses

Gemar, Vincent:
Machine-learning based localization of latest epicardial activation for cardiac resynchronization therapy guidance
Advisor: Maier, Andreas; Meister, Felix; Eric Lluch Ph.D., (Siemens Healthineers, Artificial Intelligence Germany); Hiroshi Ashikaga M.D. Ph.D., (Johns Hopkins University School of Medicine, Cardiac Arrhythmia Servic; Tiziano Passerini Ph.D., (Siemens Medical Solution USA Inc., Medical Imaging Technologies); Tommaso Mansi Ph.D., (Siemens Medical Solution USA Inc., Medical Imaging Technologies)
Beginn: 01.12.2019

1 Finished

Master Theses

Bhandary Panambur, Adarsh:
Lung Nodule Classification in CT Images using Deep Learning
Advisor: Gündel, Sebastian; Haderlein, Tino; Maier, Andreas; Meister, Felix; Dr. Arnaud Arindra Adiyoso Setio (Siemens Healthineers GmbH)
Beginn: 03.12.2018



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Department of Computer Science 5 Our Team Meister, Felix Curriculum Vitae Thesis Publications 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 28977 +49 9131 85 27270 09.156 Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstr. 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Meister, Felix » Thesis Felix Meister M. Sc. Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Thesis 1 Running Bachelor Theses Gemar, Vincent: Machine-learning based localization of latest epicardial activation for cardiac resynchronization therapy guidance Advisor: Maier, Andreas; Meister, Felix; Eric Lluch Ph.D., (Siemens Healthineers, Artificial Intelligence Germany); Hiroshi Ashikaga M.D. Ph.D., (Johns Hopkins University School of Medicine, Cardiac Arrhythmia Servic; Tiziano Passerini Ph.D., (Siemens Medical Solution USA Inc., Medical Imaging Technologies); Tommaso Mansi Ph.D., (Siemens Medical Solution USA Inc., Medical Imaging Technologies) Beginn: 01.12.2019 1 Finished Master Theses Bhandary Panambur, Adarsh: Lung Nodule Classification in CT Images using Deep Learning Advisor: Gündel, Sebastian; Haderlein, Tino; Maier, Andreas; Meister, Felix; Dr. Arnaud Arindra Adiyoso Setio (Siemens Healthineers GmbH) Beginn: 03.12.2018