@article{d895a32657244a76971baf2d242d4896,
title = "Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes (European Journal of Nuclear Medicine and Molecular Imaging, (2020), 47, 8, (1971-1983), 10.1007/s00259-019-04663-3)",
abstract = "The correct acknowledgments should be the below: Acknowledgements This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) [No. NRF-2017R1A2B2005081 and NRF- 2019R1A5A2027340]; a grant of the Korean Health Technology R&D Project, Ministry of Health&Welfare, Republic ofKorea [HI19C1132]; a fund by Research of Korea Centers for Disease Control and Prevention [2018-ER6203-02]; and the Original Technology Research Program for Brain Science through the National Research Foundation of Korea(NRF) funded by the Ministry of Science ICT and Future Planning [2015M3C7A1029034].",
author = "Kim, {Jun Pyo} and Jeonghun Kim and Yeshin Kim and Moon, {Seung Hwan} and Park, {Yu Hyun} and Sole Yoo and Hyemin Jang and Kim, {Hee Jin} and Na, {Duk L.} and Seo, {Sang Won} and Seong, {Joon Kyung}",
note = "Funding Information: Acknowledgements This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) [No. NRF-2017R1A2B2005081 and NRF-2019R1A5A2027340]; a grant of the Korean Health Technology R&D Project, Ministry of Health&Welfare, Republic ofKorea [HI19C1132]; a fund by Research of Korea Centers for Disease Control and Prevention [2018-ER6203-02]; and the Original Technology Research Program for Brain Science through the National Research Foundation of Korea(NRF) funded by the Ministry of Science ICT and Future Planning [2015M3C7A1029034]. Publisher Copyright: {\textcopyright} 2020, Springer-Verlag GmbH Germany, part of Springer Nature.",
year = "2020",
month = sep,
day = "1",
doi = "10.1007/s00259-020-04925-5",
language = "English",
volume = "47",
pages = "2480",
journal = "European Journal of Nuclear Medicine",
issn = "1619-7070",
publisher = "Springer Verlag",
number = "10",
}