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Jaume Garcia, Joel Barajas, Francesc Carreras, Sandra Pujades, & Petia Radeva. (2005). An intuitive validation technique to compare local versus global tagged MRI analysis. In Computers In Cardiology (Vol. 32, 29–32).
Abstract: Myocardium appears as a uniform tissue that seen in convectional Magnetic Resonance Images (MRI) shows just the contractile part of its movement. MR Tagging is a unique imaging technique that prints a grid over the tissue which moves according to the underlying movement of the myocardium revealing the true deformation of the cardiac muscle. Optical flow techniques based on spectral information estimate tissue displacement by analyzing information encoded in the phase maps which can be obtained using, local (Gabor) and global (HARP) methods. In this paper we compare both in synthetic and real Tagged MR sequences. We conclude that local method is slightly more accurate than the global one. On the other hand, global method is more efficient as it is much faster and less parameters have to be taken into account
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F. Lopez, J.M. Valiente, Ramon Baldrich, & Maria Vanrell. (2005). Fast surface grading using color statistics in the CIELab space. In LNCS 1: 666–673.
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Oriol Ramos Terrades, & Ernest Valveny. (2005). Local Norm Features based on ridgelets Transform.
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Jaume Amores, N. Sebe, & Petia Radeva. (2006). Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier. PRL - Pattern Recognition Letters, 27(3), 201–209.
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Joaquin Salas, Wendy Avalos, Rafael Castañeda, & Mario Maya. (2006). A machine-vision system to measure the parameters describing the performance of a Foucault pendulum. Machine Vision and Applications, 133–138.
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J. Nuñez, Xavier Otazu, & M.T. Merino. (2005). A Multiresolution-Based Method for the Determination of the Relative Resolution between Images. First Application to Remote Sensing and Medical Images. International Journal of Imaging Systems and Technology, 15(5): 225–235 (IF: 0.439).
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Oriol Pujol, Petia Radeva, & Jordi Vitria. (2006). Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(6): 1007–1012.
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Fernando Vilariño, Ludmila I. Kuncheva, & Petia Radeva. (2006). ROC curves and video analysis optimization in intestinal capsule endoscopy. PRL - Pattern Recognition Letters, 27(8), 875–881.
Abstract: Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions.
Keywords: ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy
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Matthias S. Keil, Gabriel Cristobal, & Heiko Neumann. (2006). Gradient representation and perception in the early visual system – A novel account of Mach band formation. VR - Vision Research, 46(17): 2659–2674.
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Anonymous. (2006). A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors. IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1683–1691.
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Shigang Yue, F. Claire Rind, Matthias S. Keil, Jorge Cuadri, & Richard Stafford. (2006). A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment. Neurocomputing 69(13–15): 1591–1598.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat, & Antonio Lopez. (2006). Factorization with Missing and Noisy Data. In 6th International Conference on Computational Science (Vol. LNCS 3991, 555–562).
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Angel Sappa, & Fadi Dornaika. (2006). An Edge-Based Approach to Motion Detection. In 6th International Conference on Computational Science (ICCS´06), LNCS 3991:563–570.
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Angel Sappa, David Geronimo, Fadi Dornaika, & Antonio Lopez. (2006). On-board camera extrinsic parameter estimation. EL - Electronics Letters, 42(13), 745–746.
Abstract: An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction.
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Miquel Ferrer, F. Serratosa, & A. Sanfeliu. (2005). Synthesis of median spectral graph. In Pattern Recognition and Image Analysis (IbPRIA´05), LNCS, 3523: 139 146.
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