InfiNet: Fully convolutional networks for infant brain MRI segmentation

Kumar, Shubham; Navab, Nassir; Roy, Abhijit Guha; Conjeti, Sailesh; Wachinger, Christian

doi:10.1109/ISBI.2018.8363542

Contribution to a conference proceedings/Contribution to a book

DZNE-2020-00448

InfiNet: Fully convolutional networks for infant brain MRI segmentation

Kumar, S. ; Conjeti, S.DZNE* ; Roy, A. G. ; Wachinger, C. ; Navab, N.

2018
IEEE

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) : [Proceedings] - IEEE, 2018. - ISBN 978-1-5386-3636-7 - doi:10.1109/ISBI.2018.8363542
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 4 Apr 2018 - 7 Apr 2018 IEEE 145-148 (2018) [10.1109/ISBI.2018.8363542]

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Please use a persistent id in citations: doi:10.1109/ISBI.2018.8363542

Contributing Institute(s):

Artificial Intelligence in Medicine (AG Reuter)

Research Program(s):

345 - Population Studies and Genetics (POF3-345) (POF3-345)

Appears in the scientific report 2018

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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contribution to a book
Institute Collections > BN DZNE > BN DZNE-AG Reuter
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Record created 2020-07-16, last modified 2023-05-12

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