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Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks

Author

Listed:
  • Ertunc Erdil

    (ETH Zurich)

  • Anton S. Becker

    (ETH Zurich
    Memorial Sloan Kettering Cancer Center
    University Hospital Zurich
    NYU Grossman School of Medicine)

  • Moritz Schwyzer

    (University Hospital Zurich)

  • Borja Martinez-Tellez

    (University of Almería
    Instituto de Salud Carlos III
    Leiden University Medical Center)

  • Jonatan R. Ruiz

    (Sport and Health University Research Institute (iMUDS), University of Granada
    Ibs.Granada
    Instituto de Salud Carlos III)

  • Thomas Sartoretti

    (University Hospital Zurich)

  • H. Alberto Vargas

    (Memorial Sloan Kettering Cancer Center)

  • A. Irene Burger

    (University Zurich Hospital
    University of Zurich)

  • Alin Chirindel

    (University Hospital of Basel)

  • Damian Wild

    (University Hospital of Basel)

  • Nicola Zamboni

    (ETH Zürich)

  • Bart Deplancke

    (Ecole Polytechnique Fédérale de Lausanne (EPFL)
    Swiss Institute of Bioinformatics)

  • Vincent Gardeux

    (Ecole Polytechnique Fédérale de Lausanne (EPFL)
    Swiss Institute of Bioinformatics)

  • Claudia Irene Maushart

    (University Hospital Basel and University of Basel)

  • Matthias Johannes Betz

    (University Hospital Basel and University of Basel)

  • Christian Wolfrum

    (ETH Zurich)

  • Ender Konukoglu

    (ETH Zurich
    The LOOP Zürich - Medical Research Center)

Abstract

No abstract is available for this item.

Suggested Citation

  • Ertunc Erdil & Anton S. Becker & Moritz Schwyzer & Borja Martinez-Tellez & Jonatan R. Ruiz & Thomas Sartoretti & H. Alberto Vargas & A. Irene Burger & Alin Chirindel & Damian Wild & Nicola Zamboni & B, 2024. "Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks," Nature Communications, Nature, vol. 15(1), pages 1-1, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54209-x
    DOI: 10.1038/s41467-024-54209-x
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