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, (2019), 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

doi:10.1007/s00259-020-04693-2

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, (2019), 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 journal › Comment/debate

1 Scopus citations

Abstract

The Table 2 in the original version of this article contained a mistake in the alignment. Correct Table 2 presentation is presented here.

Original language	English
Pages (from-to)	1611-1612
Number of pages	2
Journal	European Journal of Nuclear Medicine and Molecular Imaging
Volume	47
Issue number	6
DOIs	https://doi.org/10.1007/s00259-020-04693-2
State	Published - 1 Jun 2020

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Kim, J. P., Kim, J., Kim, Y., Moon, S. H., Park, Y. H., Yoo, S., Jang, H., Kim, H. J., Na, D. L., Seo, S. W., & Seong, J. K. (2020). 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, (2019), 10.1007/s00259-019-04663-3). European Journal of Nuclear Medicine and Molecular Imaging, 47(6), 1611-1612. https://doi.org/10.1007/s00259-020-04693-2

Kim, Jun Pyo ; Kim, Jeonghun ; Kim, Yeshin et al. / 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, (2019), 10.1007/s00259-019-04663-3). In: European Journal of Nuclear Medicine and Molecular Imaging. 2020 ; Vol. 47, No. 6. pp. 1611-1612.

@article{39b5e434bd30469ea663bf8a2f844470,

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, (2019), 10.1007/s00259-019-04663-3)",

abstract = "The Table 2 in the original version of this article contained a mistake in the alignment. Correct Table 2 presentation is presented here.",

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 = "Publisher Copyright: {\textcopyright} 2020, Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2020",

month = jun,

day = "1",

doi = "10.1007/s00259-020-04693-2",

language = "English",

volume = "47",

pages = "1611--1612",

journal = "European Journal of Nuclear Medicine and Molecular Imaging",

issn = "1619-7070",

publisher = "Springer",

number = "6",

}

Kim, JP, Kim, J, Kim, Y, Moon, SH, Park, YH, Yoo, S, Jang, H, Kim, HJ, Na, DL, Seo, SW & Seong, JK 2020, '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, (2019), 10.1007/s00259-019-04663-3)', European Journal of Nuclear Medicine and Molecular Imaging, vol. 47, no. 6, pp. 1611-1612. https://doi.org/10.1007/s00259-020-04693-2

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, (2019), 10.1007/s00259-019-04663-3). / Kim, Jun Pyo; Kim, Jeonghun; Kim, Yeshin et al.
In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 47, No. 6, 01.06.2020, p. 1611-1612.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Correction to

T2 - 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, (2019), 10.1007/s00259-019-04663-3)

AU - Kim, Jun Pyo

AU - Kim, Jeonghun

AU - Kim, Yeshin

AU - Moon, Seung Hwan

AU - Park, Yu Hyun

AU - Yoo, Sole

AU - Jang, Hyemin

AU - Kim, Hee Jin

AU - Na, Duk L.

AU - Seo, Sang Won

AU - Seong, Joon Kyung

PY - 2020/6/1

Y1 - 2020/6/1

N2 - The Table 2 in the original version of this article contained a mistake in the alignment. Correct Table 2 presentation is presented here.

AB - The Table 2 in the original version of this article contained a mistake in the alignment. Correct Table 2 presentation is presented here.

UR - https://www.scopus.com/pages/publications/85079456304

U2 - 10.1007/s00259-020-04693-2

DO - 10.1007/s00259-020-04693-2

M3 - Comment/debate

C2 - 32040609

AN - SCOPUS:85079456304

SN - 1619-7070

VL - 47

SP - 1611

EP - 1612

JO - European Journal of Nuclear Medicine and Molecular Imaging

JF - European Journal of Nuclear Medicine and Molecular Imaging

IS - 6

ER -

Kim JP, Kim J, Kim Y, Moon SH, Park YH, Yoo S et al. 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, (2019), 10.1007/s00259-019-04663-3). European Journal of Nuclear Medicine and Molecular Imaging. 2020 Jun 1;47(6):1611-1612. doi: 10.1007/s00259-020-04693-2

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, (2019), 10.1007/s00259-019-04663-3)

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