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Enric Marti, Ferran Poveda, Antoni Gurgui, Jaume Rocarias, Debora Gil, & Aura Hernandez-Sabate. (2013). "Una experiencia de estructura, funcionamiento y evaluación de la asignatura de graficos por computador con metodologia de aprendizaje basado en proyectos ".
Abstract: IV Congreso Internacional UNIVEST
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Enric Marti, J. Rocarias, A. Sanchez, Petia Radeva, Ricardo Toledo, & Jordi Vitria. (2006)." Caronte: una propuesta de entorno de gestion documental para asignaturas de Ingenieria Informatica" .
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Enric Marti, Carme Julia, & Debora Gil. (2006)." Una experiencia de PBL en la docencia de la asignatura de Graficos por Computador en Ingenieria Informatica" .
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Enric Marti, J. Rocarias, A. Sanchez, Petia Radeva, Ricardo Toledo, & Jordi Vitria. (2006)." Caronte: un gestor documental para asignaturas del EEES" .
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Enric Marti, J. Rocarias, Petia Radeva, H. Tizon, & Jordi Vitria. (2007)." Caronte. Un gestor documental para asignaturas de universidad en el EEES" .
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J.L.Bruguera, R.Casado, M.Martinez, I.Corral, Enric Marti, & L.A.Branda. (2009)." El apoyo institucional como elemento favorecedor de la coordinación docente: experiencias en diferentes universidades" .
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Enric Marti, Jordi Regincos, Jaime Lopez-Krahe, & Juan J.Villanueva. (1991)." A system for interpretation of hand line drawings as three-dimensional scene for CAD input" In Proceedings of the First International Conference on Document Analysis and Recognition (pp. 472–480).
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G.Estape, & Enric Marti. (2008)." L’ús d’aplicacions de visualització 3D com a eina d’aprenenetatge en activitats formatives dirigides i autònomes: el cas del programa Bluestar" .
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Gemma Sanchez, Josep Llados, & Enric Marti. (1997). "A string-based method to recognize symbols and structural textures in architectural plans " In 2nd IAPR Workshop on Graphics Recognition.
Abstract: This paper deals with the recognition of symbols and struc- tural textures in architectural plans using string matching techniques. A plan is represented by an attributed graph whose nodes represent characteristic points and whose edges represent segments. Symbols and textures can be seen as a set of regions, i.e. closed loops in the graph, with a particular arrangement. The search for a symbol involves a graph matching between the regions of a model graph and the regions of the graph representing the document. Discriminating a texture means a clus- tering of neighbouring regions of this graph. Both procedures involve a similarity measure between graph regions. A string codification is used to represent the sequence of outlining edges of a region. Thus, the simila- rity between two regions is defined in terms of the string edit distance between their boundary strings. The use of string matching allows the recognition method to work also under presence of distortion.
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Jaume Garcia, Debora Gil, Luis Badiella, Aura Hernandez-Sabate, Francesc Carreras, Sandra Pujades, et al. (2010). "A Normalized Framework for the Design of Feature Spaces Assessing the Left Ventricular Function " . IEEE Transactions on Medical Imaging, 29(3), 733–745.
Abstract: A through description of the left ventricle functionality requires combining complementary regional scores. A main limitation is the lack of multiparametric normality models oriented to the assessment of regional wall motion abnormalities (RWMA). This paper covers two main topics involved in RWMA assessment. We propose a general framework allowing the fusion and comparison across subjects of different regional scores. Our framework is used to explore which combination of regional scores (including 2-D motion and strains) is better suited for RWMA detection. Our statistical analysis indicates that for a proper (within interobserver variability) identification of RWMA, models should consider motion and extreme strains.
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