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)

Room 09.153
Martensstr. 3
91058 Erlangen

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

Research Project: Spectral Plaque Analysis from Photon Counting CT

Research Areas: Medical Image Processing, Computed Tomography, Atherosclerotic Plaque, Machine Learning

Cooperation Partner: Siemens Healthineers AG, SHS DI CT R&D CTC IA, Forchheim

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
10/2022 – 01/2023:
Software Engineer
Intego GmbH
04/2020 – 07/2022:
Research Assistant
Fraunhofer Institut für Integrierte Schaltungen IIS
03/2020:
Degree M. Sc. Medical Engineering
FAU Erlangen-Nürnberg
10/2019 – 03/2020:
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
10/2015:
Enrollment as student at FAU Erlangen-Nürnberg, Medical Engineering
08/2008 – 03/2015:
B. Sc. & M. Sc. Chemistry

Publications

2024

Conference Contributions

Goldmann F., Goldmann M., Wels M., Allmendinger T., Sühling M., Maier A.:
Automated in-silico Phantoms for Atherosclerotic Plaque Classification Models from Spectral CT
2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (Tampa, October 26, 2024 - November 2, 2024)
In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) 2024
DOI: 10.1109/NSS/MIC/RTSD57108.2024.10656072
BibTeX: Download
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
Denzinger S., Goldmann F., Wels M., Schöbinger M., Neumann D., Allmendinger T., Jürgens M., Goldmann M., Sühling M., Maier A.:
Photon Counting-Based Metrics for Soft Tissue Differentiation in Coronary Plaque Analysis
2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (Tampa, October 26, 2024 - November 2, 2024)
In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) 2024
DOI: 10.1109/NSS/MIC/RTSD57108.2024.10656858
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

Conference Contributions

Dreizin D., Goldmann F., Chen T., Unberath M.:
Automated CT pelvic fracture severity grading with deep learning: association with clinical outcomes
Conference on Machine Intelligence in Medical Imaging (C-MIMI) (Austin, TX)
BibTeX: Download

Student theses

Type	Title	Status
MA thesis	Deep Learning for low-dose Computed Tomography CAD systems	running
MA thesis	Generation of Artificial Vessel Trees for X-ray Image Analysis	running
BA thesis	Machine Learning Based Optimization of Material Decomposition in Multi-Spectral Computed Tomography	finished