Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Babin, Danilo"'
Medical image segmentation often requires segmenting multiple elliptical objects on a single image. This includes, among other tasks, segmenting vessels such as the aorta in axial CTA slices. In this paper, we present a general approach to improving
Externí odkaz:
http://arxiv.org/abs/2206.10294
Publikováno v:
The 28th International Conference on Systems, Signals and Image Processing, IWSSIP 2021, Bratislava, Slovakia, 2021
Atrial fibrillation (AF) is a cardiovascular disease identified as one of the main risk factors for stroke. The majority of strokes due to AF are caused by clots originating in the left atrial appendage (LAA). LAA occlusion is an effective procedure
Externí odkaz:
http://arxiv.org/abs/2205.06486
Publikováno v:
In Computer Methods and Programs in Biomedicine March 2024 245
Akademický článek
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Autor:
Herrera-Pereda, Raidel, Taboada Crispi, Alberto, Babin, Danilo, Philips, Wilfried, Holsbach Costa, Márcio
Publikováno v:
In Medical Image Analysis October 2021 73
Autor:
Leventić, Hrvoje, Babin, Danilo, Velicki, Lazar, Devos, Daniel, Galić, Irena, Zlokolica, Vladimir, Romić, Krešimir, Pižurica, Aleksandra
Publikováno v:
In Computers in Biology and Medicine January 2019 104:163-174
Akademický článek
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Autor:
Babin, Danilo, Devos, Daniel, Pižurica, Aleksandra, Westenberg, Jos, Vansteenkiste, Ewout, Philips, Wilfried
Publikováno v:
In Computerized Medical Imaging and Graphics April 2014 38(3):179-189
Autor:
Van Den Berghe, Thomas, Chen, Min, Babin, Danilo, Herregods, Nele, Huysse, Wouter, Jaremko, Jacob, Laloo, Frederiek, De Craemer, Ann-Sophie, Carron, Philippe, Van den Bosch, Filip, Elewaut, Dirk, Jans, Lennart
Publikováno v:
Book of Abstracts 13th International Congress on Spondyloarthritides
2022 ESSR Annual Scientific Meeting, Abstracts
2022 ESSR Annual Scientific Meeting, Abstracts
An AI-based algorithm for automatic detection of erosion and ankylosis on CT images of the sacroiliac joints: multicentre development and validation Van Den Berghe T.1, Chen M.2, Babin D.3, Herregods N.1, Huysse W.1, Jaremko J.L.4, Laloo F.1, De Crae
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1663036bafac978dc0cf5ff8fd3d5791
https://biblio.ugent.be/publication/8768355/file/8768361
https://biblio.ugent.be/publication/8768355/file/8768361
Publikováno v:
2022 International Symposium ELMAR, proceedings
There is an increasing number of clinical applications where deep learning plays an important role. Heart chamber segmentation enables delineation of anatomical structures of heart and it is a prerequisite for a wide range of clinical applications. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5bb6d9eb7ebcde01333c673190fa1dd
https://biblio.ugent.be/publication/01GMN0ET74CG7XC6GRFCMAK0QG/file/01GMN7DXMNRWWANYER910Y68GM
https://biblio.ugent.be/publication/01GMN0ET74CG7XC6GRFCMAK0QG/file/01GMN7DXMNRWWANYER910Y68GM