%0 Conference Paper %1 conf/miccai/RodriguezVPLMDTCLGBSCRMHB12 %A Rodríguez, Laura Lara %A Vera, Sergio %A Pérez, Frederic %A Lanconelli, Nico %A Morisi, Rita %A Donini, Bruno %A Turco, Dario %A Corsi, Cristiana %A Lamberti, Claudio %A Gavidia, Giovana %A Bordone, Maurizio %A Soudah, Eduardo %A Curzen, Nick %A Rosengarten, James %A Morgan, John M. %A Herrero, Javier %A Ballester, Miguel Ángel González %B STACOM %D 2012 %E Camara, Oscar %E Mansi, Tommaso %E Pop, Mihaela %E Rhode, Kawal S. %E Sermesant, Maxime %E Young, Alistair A. %I Springer %K dblp %P 53-61 %T Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. %U http://dblp.uni-trier.de/db/conf/miccai/stacom2012.html#RodriguezVPLMDTCLGBSCRMHB12 %V 7746 %@ 978-3-642-36960-5

@inproceedings{conf/miccai/RodriguezVPLMDTCLGBSCRMHB12, added-at = {2019-06-02T00:00:00.000+0200}, author = {Rodríguez, Laura Lara and Vera, Sergio and Pérez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John M. and Herrero, Javier and Ballester, Miguel Ángel González}, biburl = {https://www.bibsonomy.org/bibtex/2c9892519ec25b57a5cd6b28d360f62b5/dblp}, booktitle = {STACOM}, crossref = {conf/miccai/2012stacom}, editor = {Camara, Oscar and Mansi, Tommaso and Pop, Mihaela and Rhode, Kawal S. and Sermesant, Maxime and Young, Alistair A.}, ee = {https://www.wikidata.org/entity/Q61952800}, interhash = {4ed5af97b2843064c1653089d9d38f74}, intrahash = {c9892519ec25b57a5cd6b28d360f62b5}, isbn = {978-3-642-36960-5}, keywords = {dblp}, pages = {53-61}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T22:23:15.000+0200}, title = {Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI.}, url = {http://dblp.uni-trier.de/db/conf/miccai/stacom2012.html#RodriguezVPLMDTCLGBSCRMHB12}, volume = 7746, year = 2012 }