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A. Diplaros, N. Vlassis, & Theo Gevers. (2007). A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. IEEE Transactions on Neural Networks, 798–808.
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H.M.G. Stokman, & Theo Gevers. (2007). Selection and Fusion of Color Models for Image Feature Detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.29(3):371–381.
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Joost Van de Weijer, Theo Gevers, & A. Gijsenij. (2007). Edge-Based Color Constancy. IEEE Trans. on Image Processing, vol. 16(9):2207–2214.
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Fadi Dornaika, & Angel Sappa. (2007). Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data. In H. Araujo and J. Jorge A. R. J. Braz (Ed.), Advances in Computer Graphics and Computer Vision, (354–366). Springer Verlag.
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Daniel Ponsa. (2007). Model-Based Visual Localisation of Contours and Vehicles (Antonio Lopez, & Xavier Roca, Eds.). Ph.D. thesis, Ediciones Graficas Rey, .
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Robert Benavente. (2007). A Parametric Model for Computational Colour Naming (Maria Vanrell, Ed.). Ph.D. thesis, Ediciones Graficas Rey, .
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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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Eduard Vazquez. (2007). Distribution Characterization using Topological Features. Application to Colour Image Processing. Master's thesis, , .
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Angel Sappa, & M.A. Garcia. (2007). Aprendiendo a recrear la realidad en 3D. UAB Divulga, Revista de Divulgacion Cientifica.
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Debora Gil, Jordi Gonzalez, & Gemma Sanchez (Eds.). (2007). Computer Vision: Advances in Research and Development. 2. Bellaterra (Spain): UAB.
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Jaume Garcia, Debora Gil, Francesc Carreras, Sandra Pujades, & R.Leta. (2007). Modelització 4-Dimensional de la Funció Siatólica del Ventricle Esquerre. In XIX Congrés de la Societat Catalana de Cardiologia de Barcelona (pp. 133–134). Barcelona (Spain).
Abstract: L’evolució tecnològica en el tractament de les imatges mèdiques permet reconstruir, amb el software apropiat, imatges tridimensionals de les estructures cardiovasculars i dotar-les de moviment. Les imatges 4D resultants faciliten l’estudi de la fisiopatologia de la insuficiència cardíaca en base als transtorns de l’activació electromecànica ventricular, el que pot ser d’interès en el procés de selecció de pacients candidats a teràpies de resincronització. Presentem els resultats preliminars de la reconstrucció 4D del ventricle esquerre (VE) a partir de les seqüències de tagging miocàrdic del VE.
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Debora Gil, Oriol Rodriguez-Leor, Petia Radeva, & Aura Hernandez-Sabate. (2007). Assessing Artery Motion Compensation in IVUS. In Computer Analysis Of Images And Patterns (Vol. 4673, pp. 213–220). Lecture Notes in Computer Science. Heidelberg: Springerlink.
Abstract: Cardiac dynamics suppression is a main issue for visual improvement and computation of tissue mechanical properties in IntraVascular UltraSound (IVUS). Although in recent times several motion compensation techniques have arisen, there is a lack of objective evaluation of motion reduction in in vivo pullbacks. We consider that the assessment protocol deserves special attention for the sake of a clinical applicability as reliable as possible. Our work focuses on defining a quality measure and a validation protocol assessing IVUS motion compensation. On the grounds of continuum mechanics laws we introduce a novel score measuring motion reduction in in vivo sequences. Synthetic experiments validate the proposed score as measure of motion parameters accuracy; while results in in vivo pullbacks show its reliability in clinical cases.
Keywords: validation standards; quality measures; IVUS motion compensation; conservation laws; Fourier development
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Aura Hernandez-Sabate, Debora Gil, & Albert Teis. (2007). How Do Conservation Laws Define a Motion Suppression Score in In-Vivo Ivus Sequences? In Proc. IEEE Ultrasonics Symp (pp. 2231–2234).
Abstract: Evaluation of arterial tissue biomechanics for diagnosis and treatment of cardiovascular diseases is an active research field in the biomedical imaging processing area. IntraVascular UltraSound (IVUS) is a unique tool for such assessment since it reflects tissue morphology and deformation. A proper quantification and visualization of both properties is hindered by vessel structures misalignments introduced by cardiac dynamics. This has encouraged development of IVUS motion compensation techniques. However, there is a lack of an objective evaluation of motion reduction ensuring a reliable clinical application This work reports a novel score, the Conservation of Density Rate (CDR), for validation of motion compensation in in-vivo pullbacks. Synthetic experiments validate the proposed score as measure of motion parameters accuracy; while results in in vivo pullbacks show its reliability in clinical cases.
Keywords: validation standards; IVUS motion compensation; conservation laws.
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Enric Marti, S.Fernandez, & G.Estape. (2007). BlueStar: implementació d’una aplicació per a la visualització 3D de funcions reals, com a eina d’aprenentatge. Bellaterra (Spain).
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Enric Marti, Carme Julia, & Debora Gil. (2007). PBL en la docencia de gráficos por computador (Vol. 1). Valladolid.
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