The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures

Christoph Jansen; Björn Lindequist; Klaus Strohmenger; Daniel Romberg; Tobias Küster; Nick Weiss; Michael Franz; Lars Ole Schwen; Theodore Evans; André Homeyer

The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures

Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer

Institute of Mathematics and Image Computing

11 Citations (Scopus)

Original language	Undefined/Unknown
Journal	Future Generation Computer Systems
Volume	140
Pages (from-to)	209-224
Number of pages	16
ISSN	0167-739X
Publication status	Published - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Cite this

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title = "The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures",

author = "Christoph Jansen and Bj{\"o}rn Lindequist and Klaus Strohmenger and Daniel Romberg and Tobias K{\"u}ster and Nick Weiss and Michael Franz and Schwen, \{Lars Ole\} and Theodore Evans and Andr{\'e} Homeyer",

year = "2023",

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journal = "Future Generation Computer Systems",

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TY - JOUR

T1 - The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures

AU - Jansen, Christoph

AU - Lindequist, Björn

AU - Strohmenger, Klaus

AU - Romberg, Daniel

AU - Küster, Tobias

AU - Weiss, Nick

AU - Franz, Michael

AU - Schwen, Lars Ole

AU - Evans, Theodore

AU - Homeyer, André

PY - 2023

Y1 - 2023

M3 - Zeitschriftenaufsätze

SN - 0167-739X

VL - 140

SP - 209

EP - 224

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

ER -