Anton Fink Science Prize for Artificial Intelligence Awarded to KIT Master Graduate
(09.03.2023) KIT master's graduate, M. Sc. Tim Rädsch, was awarded for his master's thesis titled "The Quest for High Quality Annotations. Quantifying the Impact of Labeling Instructions on Real-World Data" with the Anton Fink Science Award for Artificial Intelligence.
The prize is endowed with 10,000 euros. The master thesis is the result of a cooperation between the critical information infrastructures (cii) research group of the Institute for Applied Informatics and Formal Description Methods (AIFB) at KIT and the Department of Intelligent Medical Systems (IMSY) at the German Cancer Research Center (DKFZ) in Heidelberg. The supervision from KIT side was done by M.Sc. Konstantin Pandl and Prof. Dr. Ali Sunyaev, from DKFZ side by M.Sc. Annika Reinke, Prof. Dr. Lena Maier-Hein and Prof. Dr. Annette Kopp-Schneider (Department of Biostatistics at DKFZ).
In his master thesis, Tim Rädsch dealt with annotation instructions in biomedical imaging. The work revealed the demand of professional annotators for better annotation instructions and discrepancy to common practice. In addition, he was able to show that the quality of the guidance is crucial for the quality of datasets, which form the foundation for AI algorithms. In the course of his master thesis, Tim Rädsch was able to publish the results in the internationally renowned journal Nature Machine Intelligence .
The award ceremony will take place on the morning of May 11, 2023.
More information about the THD AI Prize can be found at www.th-deg.de/ki-preis.
 Rädsch, T., Reinke, A., Weru, V., Tizabi, M. D., Schreck, N., Kavur, A. E., ... & Maier-Hein, L. (2023). Labelling instructions matter in biomedical image analysis. Nature Machine Intelligence, 1-11.