Christoph J. Bender
PhD Student at Deutsches Krebsforschungszentrum
SPIE Involvement:
Author
Area of Expertise:
Medical Physics , Machine Learning , Deep Learning , Optoacoustic , Photoacoustic
Profile Summary

Christoph Bender obtained his MSc degree in physics from the University of Heidelberg in 2023. His master’s thesis explored the topic of "Hardware-related biases in machine learning algorithms for photoacoustic image analysis." As of 2023, he pursues a Ph.D. at the Division of Intelligent Medical Systems (IMSY) within the German Cancer Research Center (DKFZ) in Heidelberg.
Publications (1)

Proceedings Article | 13 March 2024 Poster
Proceedings Volume PC12842, PC128422T (2024) https://doi.org/10.1117/12.3000348
KEYWORDS: Machine learning, Photoacoustic spectroscopy, Image analysis, Data modeling, Performance modeling, X-rays, X-ray imaging, X-ray computed tomography, Photoacoustic imaging, Medical research

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