Felix Denzinger, M. Sc.
- Job title: Researcher
- Organization: Department of Computer Science
- Working group: Chair of Computer Science 5 (Pattern Recognition)
- Phone number: +49 9131 85 25246
- Fax number: +49 9131 85 27270
- Email: felix.denzinger@fau.de
- Website: https://lme.tf.fau.de/person/denzinger/
- Address: Martensstr. 3
91058 ErlangenRoom 09.153
- Since 04/19:
Researcher at LME - Since 04/12:
Student at FAU
No projects found.
2020
Conference Contributions
- , , , , , , , :
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
BVM Workshop 2020 (Berlin, March 15, 2020 - December 17, 2019)
URL: https://arxiv.org/abs/1912.06417
BibTeX: Download
2019
Conference Contributions
- , , , , , , , , :
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
MICCAI (Shenzhen, October 13, 2019 - October 17, 2019)
In: Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.-T., Khan, A. (ed.): MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 2019
DOI: 10.1007/978-3-030-32251-9_65
URL: http://arxiv.org/abs/1912.06075
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)
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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
- 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
- Tue 18:00-20:00, Room 0.01-142 CIP
- Mon 12:00-14:00, Room 0.01-142 CIP