Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina

Emmeline E. Brown; Andrew A. Guy; Natalie A. Holroyd; Paul W. Sweeney; Lucie Gourmet; Hannah Coleman; Claire Walsh; Athina E. Markaki; Rebecca Shipley; Ranjan Rajendram; Simon Walker-Samuel

doi:10.1038/s41467-025-56964-x

Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina

Emmeline E. Brown
, Andrew A. Guy
, Natalie A. Holroyd
, Paul W. Sweeney
, Lucie Gourmet
, Hannah Coleman
, Claire Walsh
, Athina E. Markaki
, Rebecca Shipley
, Ranjan Rajendram
, Simon Walker-Samuel^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

Abstract

Correction to: Nature Communications https://doi.org/10.1038/s41467-024-50911-y, published online 10 August 2024

In the version of the article initially published, in the Methods “Image dataset” section and in the Acknowledgements, the wrong audit number was reported, when in fact Research on Anonymised Data approval (ROAD17/034) was used in accessing ophthalmological image data from Moorfields Eye Hospital NHS Foundation Trust, as is now amended in the HTML and PDF versions of the article.

Original language	English
Article number	1606
Number of pages	1
Journal	Nature Communications
Volume	16
Issue number	1
Early online date	13 Feb 2025
DOIs	https://doi.org/10.1038/s41467-025-56964-x
Publication status	Published - Dec 2025
Externally published	Yes

Bibliographical note

Correction to: Physics-informed deep generative learning for quantitative assessment of the retina (Nature Communications, (2024), 15, 1, (6859), 10.1038/s41467-024-50911-y).

Publisher Copyright:
© The Author(s) 2025.

ASJC Scopus subject areas

General Chemistry
General Biochemistry,Genetics and Molecular Biology
General Physics and Astronomy

Access to Document

10.1038/s41467-025-56964-xLicence: Creative Commons: Attribution (CC BY)

BrownEE2025AuthorCorrectionFinal published version, 359 KBLicence: Creative Commons: Attribution (CC BY)

1 Article

Physics-informed deep generative learning for quantitative assessment of the retina
Brown, E. E., Guy, A. A., Holroyd, N. A., Sweeney, P. W., Gourmet, L., Coleman, H., Walsh, C., Markaki, A. E., Shipley, R., Rajendram, R. & Walker-Samuel, S., Dec 2024, In: Nature Communications. 15, 1, 14 p., 6859.
Research output: Contribution to journal › Article › peer-review

Open Access
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Oncological Engineering - A new concept in the treatment of bone metastases
Bryant, M. (Co-Investigator) & Hall, R. (Principal Investigator)
Engineering & Physical Science Research Council
8/01/24 → 31/03/27
Project: Research Councils

Cite this

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title = "Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina",

abstract = "Correction to: Nature Communications https://doi.org/10.1038/s41467-024-50911-y, published online 10 August 2024 In the version of the article initially published, in the Methods “Image dataset” section and in the Acknowledgements, the wrong audit number was reported, when in fact Research on Anonymised Data approval (ROAD17/034) was used in accessing ophthalmological image data from Moorfields Eye Hospital NHS Foundation Trust, as is now amended in the HTML and PDF versions of the article.",

author = "Brown, \{Emmeline E.\} and Guy, \{Andrew A.\} and Holroyd, \{Natalie A.\} and Sweeney, \{Paul W.\} and Lucie Gourmet and Hannah Coleman and Claire Walsh and Markaki, \{Athina E.\} and Rebecca Shipley and Ranjan Rajendram and Simon Walker-Samuel",

note = "Correction to: Physics-informed deep generative learning for quantitative assessment of the retina (Nature Communications, (2024), 15, 1, (6859), 10.1038/s41467-024-50911-y). Publisher Copyright: {\textcopyright} The Author(s) 2025.",

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doi = "10.1038/s41467-025-56964-x",

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AU - Brown, Emmeline E.

AU - Guy, Andrew A.

AU - Holroyd, Natalie A.

AU - Sweeney, Paul W.

AU - Gourmet, Lucie

AU - Coleman, Hannah

AU - Walsh, Claire

AU - Markaki, Athina E.

AU - Shipley, Rebecca

AU - Rajendram, Ranjan

AU - Walker-Samuel, Simon

N1 - Correction to: Physics-informed deep generative learning for quantitative assessment of the retina (Nature Communications, (2024), 15, 1, (6859), 10.1038/s41467-024-50911-y). Publisher Copyright: © The Author(s) 2025.

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Y1 - 2025/12

N2 - Correction to: Nature Communications https://doi.org/10.1038/s41467-024-50911-y, published online 10 August 2024 In the version of the article initially published, in the Methods “Image dataset” section and in the Acknowledgements, the wrong audit number was reported, when in fact Research on Anonymised Data approval (ROAD17/034) was used in accessing ophthalmological image data from Moorfields Eye Hospital NHS Foundation Trust, as is now amended in the HTML and PDF versions of the article.

AB - Correction to: Nature Communications https://doi.org/10.1038/s41467-024-50911-y, published online 10 August 2024 In the version of the article initially published, in the Methods “Image dataset” section and in the Acknowledgements, the wrong audit number was reported, when in fact Research on Anonymised Data approval (ROAD17/034) was used in accessing ophthalmological image data from Moorfields Eye Hospital NHS Foundation Trust, as is now amended in the HTML and PDF versions of the article.

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DO - 10.1038/s41467-025-56964-x

M3 - Comment/debate

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SN - 2041-1723

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JO - Nature Communications

JF - Nature Communications

IS - 1

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Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Research output

Physics-informed deep generative learning for quantitative assessment of the retina

Projects

Oncological Engineering - A new concept in the treatment of bone metastases

Cite this