An Open-Source Python Pipeline for Multi-Modal Feature Extraction for Data Science in Pre-Clinical Research

Isselmou Abdarahmne; Peter Kuess; Silvia Stocchiero; Lorenz  Langgartner; Gerd Heilemann; Esaú Poblador Rodríguez; Vanessa Fröhlich; Dietmar Georg; Markus Zeilinger

An Open-Source Python Pipeline for Multi-Modal Feature Extraction for Data Science in Pre-Clinical Research

Isselmou Abdarahmne, Peter Kuess, Silvia Stocchiero, Lorenz Langgartner, Gerd Heilemann, Esaú Poblador Rodríguez, Vanessa Fröhlich, Dietmar Georg, Markus Zeilinger

Kompetenzzentrum Präklinische Bildgebung und Medizintechnik

Publikation: Konferenzbeitrag › Abstract › peer-review

Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 8 Apr. 2024

Zugriff auf Dokument

https://easychair.org/smart-program/SmallAnimals2024/2024-04-10.html#talk:245513

Dieses zitieren

@conference{338af9a4ce0d467cb4e707e0b6ddfb9f,

title = "An Open-Source Python Pipeline for Multi-Modal Feature Extraction for Data Science in Pre-Clinical Research",

author = "Isselmou Abdarahmne and Peter Kuess and Silvia Stocchiero and Lorenz Langgartner and Gerd Heilemann and {Poblador Rodr{\'i}guez}, Esa{\'u} and Vanessa Fr{\"o}hlich and Dietmar Georg and Markus Zeilinger",

year = "2024",

month = apr,

day = "8",

language = "English",

}

TY - CONF

T1 - An Open-Source Python Pipeline for Multi-Modal Feature Extraction for Data Science in Pre-Clinical Research

AU - Abdarahmne, Isselmou

AU - Kuess, Peter

AU - Stocchiero, Silvia

AU - Langgartner, Lorenz

AU - Heilemann, Gerd

AU - Poblador Rodríguez, Esaú

AU - Fröhlich, Vanessa

AU - Georg, Dietmar

AU - Zeilinger, Markus

PY - 2024/4/8

Y1 - 2024/4/8

M3 - Abstract

ER -