Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024)

Sarah Volinsky-Fremond; Nanda Horeweg; Sonali Andani; Jurriaan Barkey Wolf; Maxime W. Lafarge; Cor D. de Kroon; Gitte Ortoft; Estrid Hogdall; Jouke Dijkstra; Jan J. Jobsen; Ludy C. H. W. Lutgens; Melanie E. Powell; Linda R. Mileshkin; Helen Mackay; Alexandra Leary; Dionyssios Katsaros; Hans W. Nijman; Stephanie M. de Boer; Remi A. Nout; Marco de Bruyn; David Church; Vincent T. H. B. M. Smit; Carien L. Creutzberg; Viktor H. Koelzer; Tjalling Bosse

doi:10.1038/s41591-024-03126-z

Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024)

Sarah Volinsky-Fremond, Nanda Horeweg, Sonali Andani, Jurriaan Barkey Wolf, Maxime W. Lafarge, Cor D. de Kroon, Gitte Ortoft, Estrid Hogdall, Jouke Dijkstra, Jan J. Jobsen, Ludy C. H. W. Lutgens, Melanie E. Powell, Linda R. Mileshkin, Helen Mackay, Alexandra Leary, Dionyssios Katsaros, Hans W. Nijman, Stephanie M. de Boer, Remi A. Nout, Marco de BruynDavid Church, Vincent T. H. B. M. Smit, Carien L. Creutzberg, Viktor H. Koelzer, Tjalling Bosse^*

^*Corresponding author for this work

Research output: Contribution to journal › Erratum / corrigendum / retractions › Academic

Abstract

In the version of the article initially published, Viktor H. Koelzer and Tjalling Bosse were not named as equal contributors. This has now been corrected in the HTML and PDF versions of the article.

Original language	English
Pages (from-to)	2092-2092
Number of pages	1
Journal	Nature Medicine
Volume	30
Issue number	7
DOIs	https://doi.org/10.1038/s41591-024-03126-z
Publication status	Published - 1 Jul 2024

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1 Article

Prediction of recurrence risk in endometrial cancer with multimodal deep learning
Volinsky-Fremond, S., Horeweg, N., Andani, S., Barkey Wolf, J., Lafarge, M. W., de Kroon, C. D., Ørtoft, G., Høgdall, E., Dijkstra, J., Jobsen, J. J., Lutgens, L. C. H. W., Powell, M. E., Mileshkin, L. R., Mackay, H., Leary, A., Katsaros, D., Nijman, H. W., de Boer, S. M., Nout, R. A. & de Bruyn, M. & 5 others, Church, D., Smit, V. T. H. B. M., Creutzberg, C. L., Koelzer, V. H. & Bosse, T., Jul 2024, In: Nature Medicine. 30, 7, p. 1962-1973 12 p.
Research output: Contribution to journal › Article › Academic › peer-review

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Volinsky-Fremond, S., Horeweg, N., Andani, S., Barkey Wolf, J., Lafarge, M. W., de Kroon, C. D., Ortoft, G., Hogdall, E., Dijkstra, J., Jobsen, J. J., Lutgens, L. C. H. W., Powell, M. E., Mileshkin, L. R., Mackay, H., Leary, A., Katsaros, D., Nijman, H. W., de Boer, S. M., Nout, R. A., ... Bosse, T. (2024). Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024). Nature Medicine, 30(7), 2092-2092. https://doi.org/10.1038/s41591-024-03126-z

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title = "Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024)",

abstract = "In the version of the article initially published, Viktor H. Koelzer and Tjalling Bosse were not named as equal contributors. This has now been corrected in the HTML and PDF versions of the article.",

author = "Sarah Volinsky-Fremond and Nanda Horeweg and Sonali Andani and {Barkey Wolf}, Jurriaan and Lafarge, {Maxime W.} and {de Kroon}, {Cor D.} and Gitte Ortoft and Estrid Hogdall and Jouke Dijkstra and Jobsen, {Jan J.} and Lutgens, {Ludy C. H. W.} and Powell, {Melanie E.} and Mileshkin, {Linda R.} and Helen Mackay and Alexandra Leary and Dionyssios Katsaros and Nijman, {Hans W.} and {de Boer}, {Stephanie M.} and Nout, {Remi A.} and {de Bruyn}, Marco and David Church and Smit, {Vincent T. H. B. M.} and Creutzberg, {Carien L.} and Koelzer, {Viktor H.} and Tjalling Bosse",

year = "2024",

month = jul,

day = "1",

doi = "10.1038/s41591-024-03126-z",

language = "English",

volume = "30",

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journal = "Nature Medicine",

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Volinsky-Fremond, S, Horeweg, N, Andani, S, Barkey Wolf, J, Lafarge, MW, de Kroon, CD, Ortoft, G, Hogdall, E, Dijkstra, J, Jobsen, JJ, Lutgens, LCHW, Powell, ME, Mileshkin, LR, Mackay, H, Leary, A, Katsaros, D, Nijman, HW, de Boer, SM, Nout, RA, de Bruyn, M, Church, D, Smit, VTHBM, Creutzberg, CL, Koelzer, VH & Bosse, T 2024, 'Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024)', Nature Medicine, vol. 30, no. 7, pp. 2092-2092. https://doi.org/10.1038/s41591-024-03126-z

TY - JOUR

T1 - Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024)

AU - Volinsky-Fremond, Sarah

AU - Horeweg, Nanda

AU - Andani, Sonali

AU - Barkey Wolf, Jurriaan

AU - Lafarge, Maxime W.

AU - de Kroon, Cor D.

AU - Ortoft, Gitte

AU - Hogdall, Estrid

AU - Dijkstra, Jouke

AU - Jobsen, Jan J.

AU - Lutgens, Ludy C. H. W.

AU - Powell, Melanie E.

AU - Mileshkin, Linda R.

AU - Mackay, Helen

AU - Leary, Alexandra

AU - Katsaros, Dionyssios

AU - Nijman, Hans W.

AU - de Boer, Stephanie M.

AU - Nout, Remi A.

AU - de Bruyn, Marco

AU - Church, David

AU - Smit, Vincent T. H. B. M.

AU - Creutzberg, Carien L.

AU - Koelzer, Viktor H.

AU - Bosse, Tjalling

PY - 2024/7/1

Y1 - 2024/7/1

N2 - In the version of the article initially published, Viktor H. Koelzer and Tjalling Bosse were not named as equal contributors. This has now been corrected in the HTML and PDF versions of the article.

AB - In the version of the article initially published, Viktor H. Koelzer and Tjalling Bosse were not named as equal contributors. This has now been corrected in the HTML and PDF versions of the article.

U2 - 10.1038/s41591-024-03126-z

DO - 10.1038/s41591-024-03126-z

M3 - Erratum / corrigendum / retractions

SN - 1078-8956

VL - 30

SP - 2092

EP - 2092

JO - Nature Medicine

JF - Nature Medicine

IS - 7

ER -

Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning (May, 10.1038/s41591-024-02993-w, 2024)

Abstract

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Prediction of recurrence risk in endometrial cancer with multimodal deep learning

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