Florian Thamm, M. Sc.
- Job title: Researcher
- Organization: Department of Computer Science
- Working group: Chair of Computer Science 5 (Pattern Recognition)
- Phone number: +49 9131 85 27826
- Fax number: +49 9131 85 27270
- Email: florian.thamm@fau.de
- Website: https://lme.tf.fau.de/person/thamm/
- Address: Martensstr. 3
91058 ErlangenRoom 09.158 - Office hours: Weekly Mon, Tue,
- Since 11/2019
Ph.D Student at Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg - 04/2017 – 10/2019
M.Sc. Computer Science, 1.1, Friedrich-Alexander-Universität Erlangen-Nürnberg - 10/2013 – 03/2017
B.Eng. Medical Engineering, 1.4, Technische Hochschule Nürnberg
Siemens Healthcare GmbH, Forchheim
- Since 11/2019
Ph.D. Student
CT R&D CTC SA - 03/2019 – 09/2019
Master’s Thesis Student
CT R&D CTC SA - 03/2017 – 09/2019
Working Student
CT R&D APP ALG - 10/2016 – 04/2017
Bachelor’s Thesis Student
AT R&D APP RH - 03/2016 – 10/2016
Working Student
AT R&D APP REC - 10/2015 – 03/2016
Intern
AT R&D APP REC
Friedrich-Alexander-University
- Since 01/2020
Research Assistant for CTA Image Analysis
Exercise Instructor of the Deep Learning Course - 10/2018 – 12/2020
Teaching Assistant, Exercise Instructor of the Deep Learning Course
Technische Hochschule Nürnberg
- 03/2015 – 10/2015
E-Learning Tutor - 10/2014 – 10/2015
Teaching Assistant
Will follow soon. Promised 🙂 ….
No projects found.
2020
Conference Contributions
- , , , , , , , , :
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Bilderverarbeitung für die Medizin
Algorithmen - Systeme - Anwendungen (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download - , , , , , , , , :
Abstract: Rinq fingerprinting: recurrence-informed quantile networks for magnetic resonance fingerprinting
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_38
BibTeX: Download
2019
Book Contributions
- , , , , , , , , :
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks
In: Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf (ed.): German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine, IOS Press, 2019, p. 126-133 (Studies in Health Technology and Informatics, Vol.267)
DOI: 10.3233/SHTI190816
BibTeX: Download
Conference Contributions
- , , , , , , , , :
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Medical Image Computing and Computer Assisted Intervention (Shenzhen, October 13, 2019 - October 17, 2019)
In: Proceedings of MICCAI 2019, Cham: 2019
DOI: 10.1007/978-3-030-32248-9_11
BibTeX: Download
Vorlesung (VORL)
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Deep Learning
Information regarding the online teaching will be added to the studon course
- Tue 12:15-13:45, Room H4
Übung (UE)
-
Deep Learning Exercises
This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course
- TÜbung (UE) 18:00-20:00, Room 0.01-142 CIP
- Mon 12:00-14:00, Room 0.01-142 CIP
- Fri 8:00-10:00, Room 0.01-142 CIP
- Wed 16:00-18:00, Room 0.01-142 CIP
- Thu 14:00-16:00, Room 0.01-142 CIP
| Student | Title | Type | Status |
|---|---|---|---|
| Jiayue Zhao | Optimization of the Input Resolution for Dermoscopy Image Classification Tasks | MA thesis | running |
| Lukas Folle | Classification of Rotator Cuff Tears in MRI using Neural Networks | MA thesis | finished |