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Oriol Rodriguez-Leor; E. Fernandez-Nofrerias; J. Mauri; C. Garcia; R. Villuendas; V. Valle; Oriol Pujol; Petia Radeva |
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Intravascular ultrasound segmentation using local binary patterns |
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2003 |
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European Heart Journal (IF: 5.997), ESC Congress 2003 |
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Vienna (Austria) |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ RFM2003a |
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407 |
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O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; A. Tovar; R. Villuendas; V. Valle; Oriol Pujol; Petia Radeva |
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Title |
Analisis de texturas mediante la modificacion de un modelo binario local para la segmentacion automatica de secuencias de ecografia intracoronaria |
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2003 |
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Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares |
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Sevilla (Spain) |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ RMF2003f |
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413 |
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Oriol Pujol; Petia Radeva |
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Title |
Texture Segmentation by Statistic Deformable Models |
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2003 |
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International Journal of Image and Graphics (IJIG) |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ PuR2003 |
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432 |
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Author |
Fernando Vilariño; Petia Radeva |
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Title |
Cardiac Segmentation with Discriminant Active Contours |
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2003 |
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211–217 |
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Abstract |
Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods. |
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Palma de Mallorca |
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IOS Press |
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CCIA |
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MV;MILAB;SIAI |
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BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 |
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426 |
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Petia Radeva; Jordi Vitria |
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Title |
“Inteligencia artificial” Centre de Visio per Computador |
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2003 |
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Europacork.com (Digital Journal) Any II num. 7 |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ RaV2003b |
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404 |
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Author |
M. Bressan; David Guillamet; Jordi Vitria |
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Title |
Using an ICA Representation of Local Color Histograms for Object Recognition |
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2003 |
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Pattern Recognition, 36(3):691–701 (IF: 1.611) |
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OR;MV |
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BCNPCL @ bcnpcl @ BGV2003 |
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365 |
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Author |
M. Bressan; Jordi Vitria |
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Title |
Independent Feature Selection |
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2003 |
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(10): 1312–1317 (IF: 3.823) |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2003a |
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366 |
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Author |
M. Bressan; Jordi Vitria |
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Title |
Nonparametric Discriminant Analysis and Nearest Neighbor Classification |
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2003 |
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Pattern Recognition Letters |
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PRL |
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24 |
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15 |
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2743–2749 |
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Abstract |
IF: 0.809 |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2003b |
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367 |
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Author |
David Guillamet; B. Moghaddam; Jordi Vitria |
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Title |
Modeling High-Order Dependencies in Local Appearance Models |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652: 308–316 |
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Springer-Verlag |
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OR;MV |
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BCNPCL @ bcnpcl @ GMV2003a |
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376 |
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Author |
David Guillamet; B. Moghaddam; Jordi Vitria |
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Title |
Higher-Order Dependencies in Local Appearance Models |
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2003 |
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IEEE International Conference on Image Processing (ICIP) |
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OR;MV |
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BCNPCL @ bcnpcl @ GMV2003b |
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377 |
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David Guillamet; Jordi Vitria |
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An Experimental Evaluation of K-nn for Linear Transforms of Positive Data |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652:317–325 |
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BCNPCL @ bcnpcl @ GuV2003a |
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379 |
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David Guillamet; Jordi Vitria |
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Title |
Evaluation of distance metrics for recognition based on non-negative matrix factorization |
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2003 |
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Pattern Recognition Letters |
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24 |
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9-10 |
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1599 –1605 |
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Abstract |
IF: 0.809 |
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BCNPCL @ bcnpcl @ GuV2003b |
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380 |
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Author |
David Guillamet; Jordi Vitria; B. Shiele |
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Title |
Introducing a weighted non-negative matrix factorization for image classification |
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2003 |
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Pattern Recognition Letters |
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PRL |
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24 |
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14 |
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2447–2454 |
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IF: 0.809 |
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BCNPCL @ bcnpcl @ GVS2003 |
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382 |
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David Masip; Jordi Vitria |
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An Experimental Comparision of Dimensionality Reduction for Face Verification Methods |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652,:530–537 |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV2003a |
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386 |
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David Masip; Jordi Vitria |
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On the Nearest Neighbor Approach for Gender Recognition |
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2003 |
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In I. Aguilo, Ll. Valverde M.T. Escrig, editors. Artificial Intelligence Research and Development. IOS PRESS pp.178–188 |
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Amsterdam |
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BCNPCL @ bcnpcl @ MaV2003b |
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387 |
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