- Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. Machine Learning for Healthcare Conference, 2023 more… BibTeX
- Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, 2023 more… BibTeX Full text ( DOI )
David Fresacher M.Sc.
Technische Universität München
Lehrstuhl für Datenverarbeitung
Arcisstraße 21
80333 München
Phone: +49 (0)89 289 2360
Fax: +49 (0)89 289 23600
E-Mail: david.fresacher@tum.de
Room: Z943
Contact
If you have questions about workshops or courses, refer to the following addresses:
- Komputer & Creativität: kc.ldv(at)xcit.tum.de
- 3D-Printing: 3d.ldv(at)xcit.tum.de
- Python: py.ldv(at)xcit.tum.de
Research Interests
Deep learning based 3D model generation
How can 3D models be generated automatically? Which machine learning methods are suitable for this? Are generative models able to generate 3D models? To what extent can program synthesis be used here?
Trustworthy AI
How can trustworthy artificial intelligence be achieved and how is its control possible?