Hauptseite > Workflowsammlungen > Publikationsgebühren > UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning > print |
001 | 1014718 | ||
005 | 20240712113154.0 | ||
024 | 7 | _ | |a 10.1021/acsnanoscienceau.3c00020 |2 doi |
024 | 7 | _ | |a 10.34734/FZJ-2023-03408 |2 datacite_doi |
024 | 7 | _ | |a 37868222 |2 pmid |
024 | 7 | _ | |a WOS:001041609100001 |2 WOS |
037 | _ | _ | |a FZJ-2023-03408 |
082 | _ | _ | |a 540 |
100 | 1 | _ | |a Colliard-Granero, André |0 P:(DE-Juel1)188204 |b 0 |e Corresponding author |
245 | _ | _ | |a UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning |
260 | _ | _ | |a Washington, DC |c 2023 |b American Chemical Society |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1707995413_1434 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
536 | _ | _ | |a 1215 - Simulations, Theory, Optics, and Analytics (STOA) (POF4-121) |0 G:(DE-HGF)POF4-1215 |c POF4-121 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Jitsev, Jenia |0 P:(DE-Juel1)158080 |b 1 |u fzj |
700 | 1 | _ | |a Eikerling, Michael H. |0 P:(DE-Juel1)178034 |b 2 |
700 | 1 | _ | |a Malek, Kourosh |0 P:(DE-Juel1)181057 |b 3 |
700 | 1 | _ | |a Eslamibidgoli, Mohammad J. |0 P:(DE-Juel1)181059 |b 4 |u fzj |
773 | _ | _ | |a 10.1021/acsnanoscienceau.3c00020 |g p. acsnanoscienceau.3c00020 |0 PERI:(DE-600)3094413-2 |p 398–407 |t ACS nanoscience Au |v 3 |y 2023 |x 2694-2496 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1014718/files/colliard-granero-et-al-2023-utile-gen-automated-image-analysis-in-nanoscience-using-synthetic-dataset-generator-and.pdf |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1014718/files/colliard-granero-et-al-2023-utile-gen-automated-image-analysis-in-nanoscience-using-synthetic-dataset-generator-and.gif?subformat=icon |x icon |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1014718/files/colliard-granero-et-al-2023-utile-gen-automated-image-analysis-in-nanoscience-using-synthetic-dataset-generator-and.jpg?subformat=icon-1440 |x icon-1440 |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1014718/files/colliard-granero-et-al-2023-utile-gen-automated-image-analysis-in-nanoscience-using-synthetic-dataset-generator-and.jpg?subformat=icon-180 |x icon-180 |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1014718/files/colliard-granero-et-al-2023-utile-gen-automated-image-analysis-in-nanoscience-using-synthetic-dataset-generator-and.jpg?subformat=icon-640 |x icon-640 |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:1014718 |p openaire |p open_access |p OpenAPC |p driver |p VDB |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)188204 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)158080 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)178034 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)181057 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)181059 |
913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Materialien und Technologien für die Energiewende (MTET) |1 G:(DE-HGF)POF4-120 |0 G:(DE-HGF)POF4-121 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Photovoltaik und Windenergie |9 G:(DE-HGF)POF4-1215 |x 0 |
914 | 1 | _ | |y 2023 |
915 | p | c | |a APC keys set |0 PC:(DE-HGF)0000 |2 APC |
915 | p | c | |a DOAJ Journal |0 PC:(DE-HGF)0003 |2 APC |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2022-11-29 |
915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2022-11-29 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2023-08-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2023-04-18T10:14:06Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2023-04-18T10:14:06Z |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2023-04-18T10:14:06Z |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)IEK-13-20190226 |k IEK-13 |l IEK-13 |x 0 |
980 | 1 | _ | |a APC |
980 | 1 | _ | |a FullTexts |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)IEK-13-20190226 |
980 | _ | _ | |a APC |
980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)IET-3-20190226 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|