Software Methodologies for Distributed Systems

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M.Sc. Fabian Rabe

Research Assistant
Software Methodologies for Distributed Systems
Phone: +49 821 598 -2473
Email:
Room: 3070 (N)
Open hours: https://digicampus.uni-augsburg.de/dispatch.php/profile/index?username=rabefabi_dozent
Address: Universitätsstraße 6a, 86159 Augsburg

Short Curriculum Vitae

  • 2015: Bachelor Informatik & Multimedia, University of Augsburg
  • 2017: Master Informatik, University of Augsburg
  • Since January 2018: Research Assistant, Chair of Software Methodologies for Distributed Systems, University of Augsburg

Fields of Research

  • Medical Information Science
  • Machine Learning

Mentored Theses

  • „Sekundäre Verwendung medizinischer Daten in der Forschung: Untersuchung moderner Lösungsansätze zur Datenbereitstellung unter Verwendung der Stakeholderanalyse“ - Master Thesis

  • „Automatic Segmentation of Microscopic Images of Pollen via the Scikit-Image Library“ -  Bachelor Thesis

  • „Evaluation von Trainingsmethoden zur Erkennung von Netzhauterkrankungen mittels Deep Learning“ - Bachelor Thesis

  • „Federated Deep Learning mit medizinischen Daten“ - Master Thesis

  • „Automatische Segmentierung von mikroskopischen Bildern von Pollen mittels OpenCV und GrabCut“ - Bachelor Thesis

  • „Untersuchung der Effekte von Active Learning auf die Klassifizierung von medizinischen Bildern mittels Deep Learning“ - Master Thesis

Projects

Publications

2021 | 2020 | 2019 | 2018

2021

Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2021. Towards domain-specific explainable AI: model interpretation of a skin image classifier using a human approach. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021, 19-25 June 2021, Nashville, TN, USA. IEEE, Piscataway, NJ, 1802-1809 DOI: 10.1109/CVPRW53098.2021.00199
PDF | BibTeX | RIS | DOI

2020

Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2020. Federated medical data - how much can deep learning models benefit? [Poster]. In AMIA 2020 Virtual Clinical Informatics Converence, May 19-21.
PDF | BibTeX | RIS

2019

Julian Schiele, Fabian Rabe, Maximilian Schmitt, Manuel Glaser, Franziska Haring, Jens O. Brunner, Bernhard Bauer, Björn Schuller, Claudia Traidl-Hoffmann and Athanasios Damialis. 2019. Automated classification of airborne pollen using neural networks. In Thomas Penzel, Thomas Lenarz, Mohamad Sawan and Riccardo Barbieri (Ed.). 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019, Berlin, Germany. IEEE, New York, NY, 4474-4478. DOI: 10.1109/embc.2019.8856910
PDF | BibTeX | RIS | DOI

2018

Simon Lohmüller, Fabian Rabe, Andrea Fendt, Bernhard Bauer and Lars Christoph Schmelz. 2018. SON function performance prediction in a cognitive SON management system. In Jordi Pérez-Romero and Stephan F. Pfletschinger (Ed.). 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 15-18 April 2018, Barcelona, Spain. IEEE, Piscataway, NJ, 13-18. DOI: 10.1109/wcncw.2018.8368999
PDF | BibTeX | RIS | DOI

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