%0 Conference Paper %1 conf/cbms/Garcia-GarciaMC17 %A García-García, Fernando %A Metaxa, Eleni %A Christodoulidis, Stergios %A Anthimopoulos, Marios %A Kontopodis, Nikolaos %A Correa-Londono, Martina %A Wyss, Thomas R. %A Papaharilaou, Yannis %A Ioannou, Christos V. %A von Tengg-Kobligk, Hendrik %A Mougiakakou, Stavroula G. %B CBMS %D 2017 %E Bamidis, Panagiotis D. %E Konstantinidis, Stathis Th. %E Rodrigues, Pedro Pereira %I IEEE Computer Society %K dblp %P 463-468 %T Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. %U http://dblp.uni-trier.de/db/conf/cbms/cbms2017.html#Garcia-GarciaMC17 %@ 978-1-5386-1710-6

@inproceedings{conf/cbms/Garcia-GarciaMC17, added-at = {2024-04-16T00:00:00.000+0200}, author = {García-García, Fernando and Metaxa, Eleni and Christodoulidis, Stergios and Anthimopoulos, Marios and Kontopodis, Nikolaos and Correa-Londono, Martina and Wyss, Thomas R. and Papaharilaou, Yannis and Ioannou, Christos V. and von Tengg-Kobligk, Hendrik and Mougiakakou, Stavroula G.}, biburl = {https://www.bibsonomy.org/bibtex/2f704acba12df4c816c65f7dbb8296d19/dblp}, booktitle = {CBMS}, crossref = {conf/cbms/2017}, editor = {Bamidis, Panagiotis D. and Konstantinidis, Stathis Th. and Rodrigues, Pedro Pereira}, ee = {https://doi.ieeecomputersociety.org/10.1109/CBMS.2017.158}, interhash = {034d69b970389a6a6f8c0fc6226fc3ae}, intrahash = {f704acba12df4c816c65f7dbb8296d19}, isbn = {978-1-5386-1710-6}, keywords = {dblp}, pages = {463-468}, publisher = {IEEE Computer Society}, timestamp = {2024-04-22T07:51:13.000+0200}, title = {Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information.}, url = {http://dblp.uni-trier.de/db/conf/cbms/cbms2017.html#Garcia-GarciaMC17}, year = 2017 }