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  Detection of diabetes from whole-body magnetic resonance imaging using deep learning

Wagner, R., Dietz, B., Machann, J., Schwab, P., Dienes, J., Reichert, S., et al. (2020). Detection of diabetes from whole-body magnetic resonance imaging using deep learning. In 56th EASD Annual Meeting of the European Association for the Study of Diabetes: Abstracts. doi:10.1007/s00125-020-05221-5.

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Genre: Meeting Abstract

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 Creators:
Wagner, R.1, Author
Dietz, B.2, Author                 
Machann, J.1, Author
Schwab, P.1, Author
Dienes, J.1, Author
Reichert, S.1, Author
Birkenfeld, A. L.1, Author
Haering, H.-U.1, Author
Schick, F.1, Author
Stefan, N.1, Author
Heni, M.1, Author
Preissl, H.1, Author
Schölkopf, B2, Author           
Bauer, S.2, Author           
Fritsche, A.1, 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: 2020-08-252020
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 56th EASD Annual Meeting of the European Association for the Study of Diabetes (EASD 2020)
Place of Event: Online
Start-/End Date: 2020-09-21 - 2020-09-25

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Title: 56th EASD Annual Meeting of the European Association for the Study of Diabetes : Abstracts
Source Genre: Proceedings
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 63 Sequence Number: 551 Start / End Page: - Identifier: -

Source 2

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Title: Diabetologia
Source Genre: Journal
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Publ. Info: Heidelberg : Springer-Verlag Heidelberg
Pages: - Volume / Issue: 63 (Supplement issue 1) Sequence Number: 551 Start / End Page: - Identifier: ISSN: 0012-186X
CoNE: https://pure.mpg.de/cone/journals/resource/954925394387