Hierarchical image semantics using probabilistic path propagations for biomedical research

Christina Gillmann; Tobias Post; Thomas Wischgoll; Hans Hagen; Ross Maciejewski

doi:10.1109/MCG.2019.2894094

Hierarchical image semantics using probabilistic path propagations for biomedical research

Christina Gillmann, Tobias Post, Thomas Wischgoll, Hans Hagen, Ross Maciejewski

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	8618426
Pages (from-to)	86-101
Number of pages	16
Journal	IEEE Computer Graphics and Applications
Volume	39
Issue number	6
DOIs	https://doi.org/10.1109/MCG.2019.2894094
State	Published - Nov 1 2019

ASJC Scopus Subject Areas

Software
Computer Graphics and Computer-Aided Design

Disciplines

Computer Sciences
Engineering

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10.1109/MCG.2019.2894094

Cite this

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title = "Hierarchical image semantics using probabilistic path propagations for biomedical research",

author = "Christina Gillmann and Tobias Post and Thomas Wischgoll and Hans Hagen and Ross Maciejewski",

note = "Publisher Copyright: {\textcopyright} 1981-2012 IEEE.",

year = "2019",

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day = "1",

doi = "10.1109/MCG.2019.2894094",

language = "English",

volume = "39",

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journal = "IEEE Computer Graphics and Applications",

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AU - Gillmann, Christina

AU - Post, Tobias

AU - Wischgoll, Thomas

AU - Hagen, Hans

AU - Maciejewski, Ross

PY - 2019/11/1

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M3 - Article

C2 - 30668468

AN - SCOPUS:85060285305

SN - 0272-1716

VL - 39

SP - 86

EP - 101

JO - IEEE Computer Graphics and Applications

JF - IEEE Computer Graphics and Applications

IS - 6

M1 - 8618426

ER -

Hierarchical image semantics using probabilistic path propagations for biomedical research

ASJC Scopus Subject Areas

Disciplines

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