Florian Goldmann - Pattern Recognition Lab

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Pattern Recognition Lab PRL

Florian Goldmann

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Martensstr. 3
91058 Erlangen

Email: florian.goldmann@fau.de
Website: https://lme.tf.fau.de/person/goldmann/

Academic CV

Since 02/2023:
PhD Candidate, Pattern Recognition Lab, FAU Erlangen-Nürnberg, in cooperation with Siemens Healthineers AG, SHS DI CT R&D CTC IA, Forchheim
Research topic: Spectral plaque analysis from Photon Counting CT
10/2019 – 07/2022:
Research Assistant, Fraunhofer Institut für Integrierte Schaltungen IIS
12/2018 – 08/2019:
Research Assistant, Johns Hopkins University (Baltimore, MD, USA)
08/2016 – 10/2018:
Research Assistant, Fraunhofer Institut für Integrierte Schaltungen IIS
08/2016 – 10/2018:
Student at FAU Erlangen-Nürnberg, M. Sc. Medical Engineering
08/2008 – 03/2015:
B. Sc. & M. Sc. Chemistry

Projects

No projects found.

Publications

2024

Conference Contributions

Goldmann M., Manhart M., Preuhs A., Goldmann F., Kowarschik M., Maier A.:
OrdinalNet: A Deep Learning-based Relative Image Quality Metric for Motion Compensation in CBCT
2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (Tampa, FL, October 26, 2024 - November 2, 2024)
In: IEEE (ed.): IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), New York, USA: 2024
DOI: 10.1109/NSS/MIC/RTSD57108.2024.10656155
URL: https://ieeexplore.ieee.org/document/10656155
BibTeX: Download

2023

Book Contributions

Goldmann F., Keinert J., Fink L., Gul MSK., Jaschke T., Ziegler M., Baetz M., Fößel S., Prappacher N.:
Light field processing for media applications
In: Immersive Video Technologies, Elsevier, 2023, p. 227--264
BibTeX: Download

2021

Journal Articles

Dreizin D., Goldmann F., LeBedis C., Boscak A., Dattwyler M., Bodanapally U., Li G., Anderson S., Maier A., Unberath M.:
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT
In: Journal of Digital Imaging (2021)
ISSN: 0897-1889
DOI: 10.1007/s10278-020-00399-x
BibTeX: Download

2019

Journal Articles

Unberath M., Zaech JN., Gao C., Bier B., Goldmann F., Lee SC., Fotouhi J., Taylor R., Armand M., Navab N.:
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation
In: International Journal of Computer Assisted Radiology and Surgery 14 (2019), p. 1517-1528
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02011-2
BibTeX: Download
Bier B., Goldmann F., Zaech JN., Fotouhi J., Hegeman R., Grupp R., Armand M., Osgood G., Navab N., Maier A., Unberath M.:
Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-01975-5
BibTeX: Download

Student theses

Type	Title	Status
BA thesis	Machine Learning Based Optimization of Material Decomposition in Multi-Spectral Computed Tomography	finished