Junior-Professor Für Experimentelle Radiologie at Universitätsklinikum Ulm (University Hospital Ulm)
Ulm, Baden-Württemberg, Germany
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Summary
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Senior
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Top School
Michael Goetz is a Junior-Professor and machine learning researcher specializing in computer vision for medical imaging, with 13 years of experience bridging academia and clinical research in Ulm, Germany. He leads the Experimental Radiology section at Universität Ulm and develops algorithms for image-driven precision medicine, focusing on learning from weak or grouped annotations and federated/distributed datasets. His work on radiomics was recently published in Scientific Reports, reflecting a strong track record in translating methods for small or unusual datasets into clinically relevant tools. Trained as an engineer and PhD in image processing, he combines hands-on hardware and embedded systems experience from earlier roles with advanced deep learning research. Colleagues value his pragmatic approach to noisy annotation regimes and his ability to navigate both hospital and research center environments to push algorithmic solutions toward practice.
14 years of coding experience
1 year of employment as a software developer
Doktor (Ph.D.), Informatics, Doktor (Ph.D.), Informatics at Karlsruher Institut für Technologie (KIT)
Diplom-Ingenieur (BA), Elektrotechnik und Elektronik - Automatisierung, Diplom-Ingenieur (BA), Elektrotechnik und Elektronik - Automatisierung at Berufsakademie Stuttgart
Doktor (Ph.D.), Informatik / Bildverarbeitung, Doktor (Ph.D.), Informatik / Bildverarbeitung at DKFZ German Cancer Research Center
Contributions:1 release, 1 push, 1 branch in 7 months
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