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Automatic aortic root segmentation and anatomical landmarks detection for TAVI procedure planning.

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Title: Automatic aortic root segmentation and anatomical landmarks detection for TAVI procedure planning.
Authors: Lalys, Florent1 florent.lalys@therenva.com, Esneault, Simon1, Castro, Miguel2,3, Royer, Lucas1, Haigron, Pascal2,3, Auffret, Vincent2,3,4, Tomasi, Jacques4
Source: Minimally Invasive Therapy & Allied Technologies. Jun2019, Vol. 28 Issue 3, p157-164. 8p. 2 Color Photographs, 1 Black and White Photograph, 2 Diagrams, 1 Graph.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Minimally+Invasive+Therapy+%26+Allied+Technologies%22">Minimally Invasive Therapy & Allied Technologies</searchLink>. Jun2019, Vol. 28 Issue 3, p157-164. 8p. 2 Color Photographs, 1 Black and White Photograph, 2 Diagrams, 1 Graph.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13645706.2018.1488734
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        Text: English
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      – TitleFull: Automatic aortic root segmentation and anatomical landmarks detection for TAVI procedure planning.
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            – D: 01
              M: 06
              Text: Jun2019
              Type: published
              Y: 2019
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