Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation

Eur Radiol. 2024 Dec;34(12):8039. doi: 10.1007/s00330-024-10826-0.

Montserrat Carles¹, Dejan Kuhn^{2

3}, Tobias Fechter^{2

3}, Dimos Baltas^{2

3}, Michael Mix⁴, Ursula Nestle^{3

5

6}, Anca L Grosu^{3

5}, Luis Martí-Bonmatí⁷, Gianluca Radicioni^#^{3

5}, Eleni Gkika^#^{3

5}

¹ La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infra-structures (ICTS), Valencia, Spain. [email protected].
² Division of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
³ German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.
⁴ Department of Nuclear Medicine, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
⁵ Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
⁶ Department of Radiation Oncology, Kliniken Maria Hilf GmbH Moenchengladbach, Moechengladbach, Germany.
⁷ La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infra-structures (ICTS), Valencia, Spain.

^# Contributed equally.

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