Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Purpose Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem...

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Bibliographic Details
Main Authors:	Adler, Tim (Author) , Ardizzone, Lynton (Author) , Kruse, Jakob (Author) , Rother, Carsten (Author) , Köthe, Ullrich (Author) , Maier-Hein, Lena (Author)
Format:	Article (Journal)
Language:	English
Published:	22 March 2019
In:	International journal of computer-assisted language learning and teaching Year: 2019, Volume: 14, Issue: 6, Pages: 997-1007
ISSN:	2155-7101
DOI:	10.1007/s11548-019-01939-9
Online Access:	Verlag, Volltext: https://doi.org/10.1007/s11548-019-01939-9 Verlag, Volltext: https://link.springer.com/article/10.1007/s11548-019-01939-9
Author Notes:	Tim J. Adler, Lynton Ardizzone, Anant Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

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Summary:	Purpose Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem...
Item Description:	Gesehen am 17.09.2019
Physical Description:	Online Resource
ISSN:	2155-7101
DOI:	10.1007/s11548-019-01939-9