FEHAT: efficient, large scale and automated heartbeat detection in Medaka fish embryos

Authors

Omar T. Hammouda (ORCID: https://orcid.org/0000-0002-0502-658X)
Tomas Fitzgerald (ORCID: https://orcid.org/0000-0002-2370-8496)
Bettina Welz (ORCID: https://orcid.org/0000-0002-5505-0588)
Jack Monahan (ORCID: https://orcid.org/0000-0002-0635-0015)
Philip Watson (ORCID: https://orcid.org/0000-0002-0540-2370)
Ewan Birney (ORCID: https://orcid.org/0000-0001-8314-8497)
Joachim Wittbrodt (ORCID: https://orcid.org/0000-0001-8550-7377)
Fanny Defranoux (ORCID: https://orcid.org/0000-0002-3931-8310)
M. S. Ferreira (ORCID: https://orcid.org/0000-0002-0027-5106)
Sebastian Stricker

Institutions

European Bioinformatics Institute (GB)
Heidelberg University (DE)
Bioinformatics Institute (RU)
Heidelberg University (US)

Publication Details

Journal: Bioinformatics
Published: 2024-11-06
DOI: https://doi.org/10.1093/bioinformatics/btae664
Citations: 2
Primary Topic: Water Quality Monitoring Technologies
Type: article
Field-Weighted Citation Impact: 0.40

Funders

Deutsches Zentrum für Herz-Kreislaufforschung
European Bioinformatics Institute
European Commission
Bundesministerium für Bildung und Forschung
National Institutes of Health

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article

FEHAT: efficient, large scale and automated heartbeat detection in Medaka fish embryos

Omar T. Hammouda, Tomas Fitzgerald, Bettina Welz, Jack Monahan et al.

Nov 6, 2024

2 citations

Bioinformatics

Water Quality Monitoring Technologies

0.40

article

FEHAT: efficient, large scale and automated heartbeat detection in Medaka fish embryos

Omar T. Hammouda, Tomas Fitzgerald, Bettina Welz, Jack Monahan, Philip Watson, Ewan Birney, Joachim Wittbrodt, Fanny Defranoux, M. S. Ferreira, Sebastian Stricker

November 6, 2024article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(12)

European Bioinformatics Institute (GB), Heidelberg University (DE), Bioinformatics Institute (RU), Heidelberg University (US)

Deutsches Zentrum für Herz-Kreislaufforschung, European Bioinformatics Institute, European Commission, Bundesministerium für Bildung und Forschung, National Institutes of Health

Life below water

Openalex Percentile: Top 37%

Water Quality Monitoring Technologies

0.40

DOI Open Access PDF OpenAlex

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