Query: title:(Guiding 3D U-nets with signed distance fields for creating 3D models from images), Author: Juhl

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title:(Guiding 3D U-nets with signed distance fields for creating 3D models from images) Author: Juhl

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title:(Guiding AND 3D AND U-nets AND with AND signed AND distance AND fields AND for AND creating AND 3D AND models AND from AND images)

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1 Conference paper

Guiding 3D U-nets with signed distance fields for creating 3D models from images

Juhl, Kristine Aavild; Paulsen, Rasmus Reinhold; Dahl, Anders Bjorholm; Dahl, Vedrana Andersen; De Backer, Ole; Kofoed, Klaus Fuglsang; et al. (1 more)

distance fields to guide a deep network towards morphologically consistent 3D models. The proposed strategy is evaluated on a synthetic dataset of simple geometries, as well as a set of cardiac computed tomography images containing the left atrial appendage. The proposed method produces smooth surfaces

Year: 2019

Language: English

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2 Preprint article

Guiding 3D U-nets with signed distance fields for creating 3D models from images