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)

Jun Pyo Kim, Jeonghun Kim, Yeshin Kim, Seung Hwan Moon, Yu Hyun Park, Sole Yoo, Hyemin Jang, Hee Jin Kim, Duk L. Na, Sang Won Seo, Joon Kyung Seong

Research output: Contribution to journalComment/debatepeer-review

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].

Original languageEnglish
Pages (from-to)2480
Number of pages1
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume47
Issue number10
DOIs
Publication statusPublished - 2020 Sep 1

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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