Holger Hennig is Head of AI and Analytics based in Hamburg with 11 years of experience building data-driven products for the medical domain. He leads interdisciplinary teams to develop clinically certified AI models and scalable data infrastructures, translating regulatory and stakeholder needs into production-ready analytics. Known for bridging research-grade machine learning with operational requirements, he prioritizes reproducibility, auditability and clear communication across clinical and technical teams. Holger actively scouts emerging ML trends to keep medical analytics strategies future-proof, combining hands-on model delivery with strategic leadership.
This module reads image data from compensated image files (.cif files) into a tensor in python.
Contributions:9 pushes, 1 branch in 1 day
pythoncif-filestensorimage-processingcif
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