| Name | Daniel Hieber HNU |
| Affiliation | Institute of Clinical Epidemiology and Biometry
Professur für Medizininformatik am Institut für Klinische Epidemiologie und Biometrie |
| Street | Am Schwarzenberg 15, Haus A15.4.316 |
| Zip Code | 97078 |
| City | Würzburg |
| Email | E-mail |
| Telephone | |
| Homepage | Homepage |
| Section | Computing Siences & Systems Engineering |
| Title of Thesis Project | Neuronal Network Assisted Pathology for Glioblastoma |
| Primary Supervisor | Prof. Dr. Rüdiger Pryss |
| Member of Thesis Committee | Prof. Dr. Andreas Hotho |
| Prof. Dr. Johannes Schobel |
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| Conference Contribution | Lukas Brodschelm, Felix Gräber, Daniel Hieber, and Marc Hermann. Mood Adaptive Display Coloring - Utilizing Modern Machine Learning Techniques and Intelligent Coloring to Influence the Mood of PC Users. In ACHI 2021.
Daniel Hieber et al. Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. In CBMS 2023.
Daniel Hieber and Gregor Grambow. Hybrid Transactional and Analytical Processing Databases: A Systematic Literature Review. In DATA ANALYTICS 2020.
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