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001038646 037__ $$aFZJ-2025-01617
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001038646 1001_ $$0P:(DE-Juel1)140202$$aStrube, Alexandre$$b0$$ufzj
001038646 1112_ $$aForschungszentrum Jülich$$cJülich$$d2024-11-19 - 2024-11-19$$gINM Retreat$$wGermany
001038646 245__ $$aDeep Learning for Neuroscience
001038646 260__ $$c2024
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001038646 520__ $$aMachine Learning – in particular deep learning – has become an indispensable tool for analyzing large neuroscience datasets. The Helmholtz AI team at Jülich is closely connected to these developments and supports research activities at the intersection of AI, high-performance computing (HPC) and neuroscience. Many of the methods and solutions are not limited to neuroscience and medical applications, but can be transferred to different tasks and scientific domains.This tutorial we will give an overview of state-of-the-art deep learning methods in the context of biomedical image analysis and show concrete examples in INM where deep learning already supports neuroscientists in analyzing their data. The second part of this tutorial will offer a hands-on course on how to bring deep learning pipelines on JSC’s HPC systems.
001038646 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001038646 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x1
001038646 536__ $$0G:(DE-Juel-1)E54.303.11$$aHelmholtz AI Consultant Team FB Information (E54.303.11)$$cE54.303.11$$x2
001038646 7001_ $$0P:(DE-Juel1)192312$$aBenassou, Sabrina$$b1$$ufzj
001038646 7001_ $$0P:(DE-Juel1)206762$$aKasravi, Javad$$b2$$ufzj
001038646 7001_ $$0P:(DE-Juel1)165746$$aDickscheid, Timo$$b3$$ufzj
001038646 7001_ $$0P:(DE-Juel1)170068$$aSchiffer, Christian$$b4$$ufzj
001038646 8564_ $$uhttps://events.hifis.net/event/1825/page/483-tutorials-november-19-2024
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001038646 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)206762$$aForschungszentrum Jülich$$b2$$kFZJ
001038646 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165746$$aForschungszentrum Jülich$$b3$$kFZJ
001038646 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)170068$$aForschungszentrum Jülich$$b4$$kFZJ
001038646 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001038646 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x1
001038646 9141_ $$y2024
001038646 920__ $$lyes
001038646 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001038646 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x1
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