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Author
Title
Year
Publication
Volume
Pages
Links
Jaume Garcia; Debora Gil; Sandra Pujades; Francesc Carreras
Valoracion de la Funcion del Ventriculo Izquierdo mediante Modelos Regionales Hiperparametricos
2008
Revista Española de Cardiologia
61
79
Enric Marti; Ferran Poveda; Antoni Gurgui; Jaume Rocarias; Debora Gil; Aura Hernandez-Sabate
Una experiencia de estructura, funcionamiento y evaluación de la asignatura de graficos por computador con metodologia de aprendizaje basado en proyectos
2013
IV Congreso Internacional UNIVEST
Ferran Poveda; Enric Marti; Debora Gil; Francesc Carreras; Manel Ballester
Helical Structure of Ventricular Anatomy by Diffusion Tensor Cardiac MR Tractography
2012
Journal of American College of Cardiology
5
754-755
Jaume Garcia; Debora Gil; A.Bajo; M.J.Ledesma-Carbayo; C.SantaMarta
Influence of the temporal resolution on the quantification of displacement fields in cardiac magnetic resonance tagged images
2008
Proc. Computers in Cardiology
35
785-788
C. Santa-Marta; Jaume Garcia; A. Bajo; J.J. Vaquero; M. Ledesma-Carbayo; Debora Gil
Influence of the Temporal Resolution on the Quantification of Displacement Fields in Cardiac Magnetic Resonance Tagged Images
2008
XXVI Congreso Anual de la Sociedad Española de Ingenieria Biomedica
352–353
Debora Gil; Antoni Rosell
Advances in Artificial Intelligence – How Lung Cancer CT Screening Will Progress?
2019
World Lung Cancer Conference
Debora Gil; Petia Radeva; Jordi Saludes; Josefina Mauri
Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach
2000
International Conference on Pattern Recognition
4
352-355
Debora Gil; Petia Radeva; Jordi Saludes; Josefina Mauri
Automatic Segmentation of Artery Wall in Coronary IVUS Images: a Probabilistic Approach
2000
Proceedings of CIC’2000
Misael Rosales; Petia Radeva; Oriol Rodriguez; Debora Gil
Suppression of IVUS Image Rotation. A Kinematic Approach
2005
Functional Imaging and Modeling of the Heart
3504
889-892
Aura Hernandez-Sabate; Debora Gil; Petia Radeva
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
2005
Proceeding of the 2005 conference on Artificial Intelligence Research and Development
67-74
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