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Klaus Strohmenger
Klaus Strohmenger
HTW Berlin - University of Applied Sciences
Computer science
Deep learning
Artificial intelligence
Software
Data transmission
3
Papers
4
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0
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The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures
2023
Future Generation Computer Systems
Christoph Jansen
Björn Lindequist
Klaus Strohmenger
Daniel Romberg
Tobias Küster
Nick Weiss
Michael Franz
Lars Ole Schwen
Theodore Evans
André Homeyer
Norman Zerbe
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Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications
2020
Future Generation Computer Systems
Christoph Jansen
Jonas Annuscheit
Bruno Schilling
Klaus Strohmenger
Michael Witt
Felix Bartusch
Christian Herta
Peter Hufnagl
Dagmar Krefting
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Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images
2019
CCGRID | Cluster Computing and the Grid
Christoph Jansen
Bruno Schilling
Klaus Strohmenger
Michael Witt
Jonas Annuscheit
Dagmar Krefting
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