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Invertible neural networks for uncertainty quantification in photoacoustic imaging

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Multispectral photoacoustic imaging (PAI) is an emerging imaging modality that enables the recovery of functional tissue parameters such as blood oxygenation. However, the underlying inverse reconstruction problems are potentially ill-posed, meaning that radically different tissue properties may-in...

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Main Authors: Nölke, Jan-Hinrich (Author) , Adler, Tim (Author) , Gröhl, Janek (Author) , Kirchner, Thomas (Author) , Ardizzone, Lynton (Author) , Rother, Carsten (Author) , Köthe, Ullrich (Author) , Maier-Hein, Lena (Author)
Format: Chapter/Article Conference Paper
Language:German
Published: 27 February 2021
In: Bildverarbeitung für die Medizin 2021
Year: 2021, Pages: 330-335
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Author Notes:Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
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Invertible neural networks for uncertainty quantification in photoacoustic imaging by Nölke, Jan-Hinrich (Author) , Adler, Tim (Author) , Gröhl, Janek (Author) , Kirchner, Thomas (Author) , Ardizzone, Lynton (Author) , Rother, Carsten (Author) , Köthe, Ullrich (Author) , Maier-Hein, Lena (Author) ,


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