Max de Grauw
Max de Grauw obtained his BSc and MSc in Artificial Intelligence at the Radboud University in Nijmegen. For his master thesis he interned at the Monitoring & Control Services department of TNO and worked on leveraging the Transformer architecture for industrial anomaly detection. Starting in October 2020, he joined the Diagnostic Image Analysis Group as a PhD candidate. Under supervision of Bram van Ginneken and Mathias Prokop, he works on rapid reading of oncological thorax-abdomen scans using deep learning. His PhD is funded by Eurostars and is a collaboration with Thirona and Merantix.
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