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Author |
D. Seron; F. Moreso; C. Gratin; Jordi Vitria |
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Title |
Morphological Granulometries and Quantification of Interstitial Chronic Renal Damage |
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Miscellaneous |
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1995 |
Publication |
VI National Simposium on Pattern Recognition and image Analysis. |
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Cordoba |
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OR;MV |
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BCNPCL @ bcnpcl @ SMG1995 |
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137 |
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Author |
D. Seron; F. Moreso; C. Gratin; Jordi Vitria; E. Condom |
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Title |
Automated classification of renal interstitium and tubules by local texture analysis and a neural network |
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1996 |
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Analytical and Quantitative Cytology and Histology |
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18 |
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5 |
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410-9, PMID: 8908314 |
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OR;MV |
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BCNPCL @ bcnpcl @ SMG1996 |
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76 |
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Author |
J.R. Serra; A. Martinez; Jordi Vitria; J.B. Subirana |
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Title |
Iconic Representation to Image Retrieval. |
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Miscellaneous |
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1997 |
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Jornades d'Intel.ligència Artificial: Noves Tendències (JIA'97) |
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Lleida |
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DOC;OR;MV |
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BCNPCL @ bcnpcl @ SMV1997 |
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55 |
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Author |
Jose Seabra; F. Javier Sanchez; Francesco Ciompi; Petia Radeva |
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Title |
Ultrasonographic Plaque Characterization using a Rayleigh Mixture Model |
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Conference Article |
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2010 |
Publication |
7th IEEE International Symposium on Biomedical Imaging |
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1–4 |
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From Nano to Macro
A correct modelling of tissue morphology is determinant for the identification of vulnerable plaques. This paper aims at describing the plaque composition by means of a Rayleigh Mixture Model applied to ultrasonic data. The effectiveness of using a mixture of distributions is established through synthetic and real ultrasonic data samples. Furthermore, the proposed mixture model is used in a plaque classification problem in Intravascular Ultrasound (IVUS) images of coronary plaques. A classifier tested on a set of 67 in-vitro plaques, yields an overall accuracy of 86% and sensitivity of 92%, 94% and 82%, for fibrotic, calcified and lipidic tissues, respectively. These results strongly suggest that different plaques types can be distinguished by means of the coefficients and Rayleigh parameters of the mixture distribution. |
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Rotterdam (Netherlands) |
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1945-7928 |
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978-1-4244-4125-9 |
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ISBI |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ SSC2010 |
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1366 |
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Author |
J. Suri; S. Singh; S. Laxminarayan; R. Cesar; H. Jelinek; Petia Radeva; B. Roysam; Ch. Stewart; K. Frizche; J. Williams; H. Tek |
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Title |
A Note on Future Research in Vascular and Plaque Segmentation |
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Miscellaneous |
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2003 |
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Angiography and Plaque Imaging: Advanced Segmentation Techniques, Editorial: CRC, pp.501–522, ISBN: 0849317401 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ SSL2003 |
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419 |
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Author |
A. Sanfeliu; Juan J. Villanueva; Jordi Vitria |
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Title |
Image Analysis and Pattern Recognition. |
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Miscellaneous |
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1997 |
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OR;MV |
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BCNPCL @ bcnpcl @ SVV1997 |
Serial |
56 |
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Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
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Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
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Year |
2006 |
Publication |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
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4191 |
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161–168 |
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Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
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Copenhagen (Denmark) |
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Springer Verlag |
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Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
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800 |
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MICCAI06 |
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MV;OR;MILAB;SIAI |
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no |
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Call Number |
BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
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Author |
S. Tanimoto; N. Bruining; David Rotger; Petia Radeva; J. Ligthart; R.T. van Domburg; P. W. Serryus |
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Title |
Late Stent Recoil of the Bioabsorbable Everolimus Eluting Coronary Stent and its Relationship with Stent Struts Distribution and Plaque Morphology |
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2008 |
Publication |
Journal of the American College of Cardiology, vol. 52(20):1616–1620 |
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Bridgewater, NJ 08807(USA) |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ TBR2008 |
Serial |
953 |
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Author |
Ricardo Toledo; Ramon Baldrich; Ernest Valveny; Petia Radeva |
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Title |
Enhancing snakes for vessel detection in angiography images. |
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Miscellaneous |
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2002 |
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Proceedings of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002: 139–144. |
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MILAB;DAG;CIC;ADAS |
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no |
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BCNPCL @ bcnpcl @ TBV2002 |
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300 |
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Author |
Ricardo Toledo; X. Orriols; X. Binefa; Petia Radeva; Jordi Vitria; Juan J. Villanueva |
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Title |
Tracking Elongated Structures using Statistical Snakes. |
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Miscellaneous |
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2000 |
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Computer Vision and Pattern Recognition CVPR´00, 1:157–162. |
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OR;MILAB;ADAS;MV |
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no |
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BCNPCL @ bcnpcl @ TOB2000 |
Serial |
339 |
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Author |
Ricardo Toledo; X. Orriols; Petia Radeva; X. Binefa; Jordi Vitria; Cristina Cañero; Juan J. Villanueva |
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Title |
Eigensnakes for vessel segmentation in angiography. |
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Conference Article |
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2000 |
Publication |
15 th International Conference on Pattern Recognition |
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4 |
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340-343 |
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Barcelona. |
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ICPR |
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OR;MILAB;ADAS;MV |
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BCNPCL @ bcnpcl @ TOR2000 |
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235 |
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Author |
Margarita Torre; Petia Radeva |
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Title |
Agricultural-Field Extraction on Aerial Images by Region Competition Algorithm |
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2000 |
Publication |
15 th International Conference on Pattern Recognition |
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1 |
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313-316 |
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Barcelona, Spain, 2000 |
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MILAB |
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BCNPCL @ bcnpcl @ Tor2000a |
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222 |
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Author |
B. Moghaddam; David Guillamet; Jordi Vitria |
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Title |
Local Appearance-Based Models using High-Order Statistics of Image Features |
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Miscellaneous |
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2003 |
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Mitsubishi Electrical Reasearch Lab Technical Report |
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OR;MV |
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BCNPCL @ bcnpcl @ TR2003-85 |
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396 |
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Author |
F. de la Torre; Jordi Vitria; Petia Radeva; J. Melenchon |
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Title |
EigenFiltering for flexible Eigentracking. |
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Conference Article |
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2000 |
Publication |
15 th International Conference on Pattern Recognition |
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3 |
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1118-1121 |
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Barcelona. |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ TVR2000 |
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179 |
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Author |
V. Valev; Petia Radeva |
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Title |
Determining structural descriptions by boolean formulas advances in structural and syntactic Pattern Recognition. |
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Year |
1992 |
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Proceeding of the International Workshop on Structural and Syntactic Pattern Recognition. Ed. Bunke, World Scientific Pub. |
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MILAB |
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BCNPCL @ bcnpcl @ VaR1992a |
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251 |
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