Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank 
and German National Cohort Magnetic Resonance Imaging Studies

Kart, Turkay; Fischer, Marc; Küstner, Thomas; Hepp, Tobias; Bamberg, Fabian; Winzeck, Stefan; Glocker, Ben; Rueckert, Daniel; Gatidis, Sergios

doi:10.1097/RLI.0000000000000755

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Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies

Kart, T., Fischer, M., Küstner, T., Hepp, T., Bamberg, F., Winzeck, S., et al. (2021). Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies. Investigative Radiology, 56(6), 401-408. doi:10.1097/RLI.0000000000000755.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-DC57-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-DC58-7

Genre: Journal Article

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https://doi.org/10.1097/RLI.0000000000000755 (Publisher version)

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Creators:
Kart, Turkay ¹, Author
Fischer, Marc ¹, Author
Küstner, Thomas ¹, Author
Hepp, Tobias^{1, 2}, Author
Bamberg, Fabian ¹, Author
Winzeck, Stefan¹, Author
Glocker, Ben ¹, Author
Rueckert, Daniel¹, Author
Gatidis, Sergios^{1, 2}, Author

Affiliations:
1External Organizations, ou_persistent22
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Schölkopf

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Language(s): eng - English

Dates: Published Online: 2021-06Date issued: 2021-06

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1097/RLI.0000000000000755
BibTex Citekey: Kartetal21

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Title: Investigative Radiology

Other : Invest. Radiol.

Source Genre: Journal

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Publ. Info: Philadelphia : J.B. Lippincott.

Pages: - Volume / Issue: 56 (6) Sequence Number: - Start / End Page: 401 - 408 Identifier: ISSN: 0020-9996
CoNE: https://pure.mpg.de/cone/journals/resource/954925408761