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Author Jordi Vitria; J. Llacer edit  doi
openurl 
  Title Reconstructing 3D light microscopic images using the EM algorithm Type Journal
  Year 1996 Publication Pattern Recognition Letters Abbreviated Journal  
  Volume 17 Issue 14 Pages 1491–1498  
  Keywords  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ ViL1996 Serial 74  
Permanent link to this record
 

 
Author Fernando Vilariño; Petia Radeva edit  url
openurl 
  Title Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. Type Conference Article
  Year 2002 Publication Iberoamerican Conference on Artificial Intelligence Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Sevilla, Espanya  
  Corporate Author Thesis  
  Publisher Springer Verlag Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference IBERAMIA  
  Notes MV;MILAB;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ ViR2002; IAM @ iam @ VRa2003 Serial 320  
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Author Fernando Vilariño; Petia Radeva edit  openurl
  Title Cardiac Segmentation with Discriminant Active Contours Type Book Chapter
  Year 2003 Publication Abbreviated Journal  
  Volume Issue Pages 211–217  
  Keywords  
  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.  
  Address Palma de Mallorca  
  Corporate Author Thesis  
  Publisher IOS Press Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference CCIA  
  Notes MV;MILAB;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 Serial 426  
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Author Jordi Vitria edit  openurl
  Title Disseny de sistemes (intel.ligents) de visio. Type Miscellaneous
  Year 1996 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ Vit1996a Serial 88  
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Author Jordi Vitria edit  openurl
  Title Introduccio a la Morfologia Matematica Type Report
  Year 1996 Publication CVC Technical Report #06 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address CVC (UAB)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ Vit1996b Serial 90  
Permanent link to this record
 

 
Author Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva edit  doi
openurl 
  Title ROC curves and video analysis optimization in intestinal capsule endoscopy Type Journal Article
  Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 27 Issue 8 Pages 875–881  
  Keywords ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MILAB;MV;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 Serial 647  
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Author Jordi Vitria; Petia Radeva; I. Aguilo edit  openurl
  Title Recent Advances in Artificial Intelligence Research and Development Type Book Chapter
  Year 2004 Publication Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Amsterdam  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MILAB;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VRA2004 Serial 509  
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Author Jordi Vitria; Petia Radeva; X. Binefa edit  openurl
  Title EigenHistograms: using low dimensional models of color distribution for real time object recognition Type Journal Article
  Year 1999 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Address Ljubliana, Slovenia, Springer-Verlag  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MILAB;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VRB1999a Serial 29  
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Author Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land edit  openurl
  Title Real time recognition of pharmaceutical products by subspace methods Type Report
  Year 1999 Publication CVC Technical Report #35 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address CVC (UAB)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MILAB;DAG;CIC;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VRB1999b Serial 54  
Permanent link to this record
 

 
Author Fernando Vilariño; Panagiota Spyridonos; Fosca De Iorio; Jordi Vitria; Fernando Azpiroz; Petia Radeva edit   pdf
doi  openurl
  Title Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions Type Journal Article
  Year 2010 Publication IEEE Transactions on Medical Imaging Abbreviated Journal TMI  
  Volume 29 Issue 2 Pages 246-259  
  Keywords  
  Abstract Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions shown in a video provided by an ingestible capsule with a wireless micro-camera. The manual labeling of all the motility events requires large amount of time for offline screening in search of findings with low prevalence, which turns this procedure currently unpractical. In this paper, we propose a machine learning system to automatically detect the phasic intestinal contractions in video capsule endoscopy, driving a useful but not feasible clinical routine into a feasible clinical procedure. Our proposal is based on a sequential design which involves the analysis of textural, color, and blob features together with SVM classifiers. Our approach tackles the reduction of the imbalance rate of data and allows the inclusion of domain knowledge as new stages in the cascade. We present a detailed analysis, both in a quantitative and a qualitative way, by providing several measures of performance and the assessment study of interobserver variability. Our system performs at 70% of sensitivity for individual detection, whilst obtaining equivalent patterns to those of the experts for density of contractions.  
  Address  
  Corporate Author IEEE Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0278-0062 ISBN Medium  
  Area 800 Expedition Conference  
  Notes MILAB;MV;OR;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VSD2010; IAM @ iam @ VSI2010 Serial 1281  
Permanent link to this record
 

 
Author V. Valev; B. Sankur; Petia Radeva edit  openurl
  Title Generalized Non-Reducible Descriptors. Type Miscellaneous
  Year 1997 Publication Technical Report. Abbreviated Journal  
  Volume Issue Pages  
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  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VSR1997 Serial 65  
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Author V. Valev; B. Sankur; Petia Radeva edit  openurl
  Title Generalized Non Reducible Descriptors. Type Conference Article
  Year 2000 Publication 15 th International Conference on Pattern Recognition Abbreviated Journal  
  Volume 2 Issue Pages 397-397  
  Keywords  
  Abstract  
  Address Barcelona.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICPR  
  Notes MILAB Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VSR2000 Serial 230  
Permanent link to this record
 

 
Author Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva edit   pdf
openurl 
  Title Cascade analysis for intestinal contraction detection Type Conference Article
  Year 2006 Publication 20th International Congress and exhibition Computer Assisted Radiology and Surgery Abbreviated Journal  
  Volume Issue Pages 9-10  
  Keywords intestine video analysis, anisotropic features, support vector machine, cascade of classifiers  
  Abstract In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions.  
  Address Osaka (Japan)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area 800 Expedition Conference CARS  
  Notes MV;OR;MILAB;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h Serial 726  
Permanent link to this record
 

 
Author Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva edit   pdf
doi  isbn
openurl 
  Title Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy Type Conference Article
  Year 2006 Publication 18th International Conference on Pattern Recognition Abbreviated Journal  
  Volume 4 Issue Pages 719-722  
  Keywords Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization  
  Abstract Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found.  
  Address Hong Kong  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1051-4651 ISBN 0-7695-2521-0 Medium  
  Area 800 Expedition Conference ICPR  
  Notes MV;OR;MILAB;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g Serial 727  
Permanent link to this record
 

 
Author Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva edit   pdf
doi  openurl
  Title Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions Type Book Chapter
  Year 2006 Publication 11th Iberoamerican Congress on Pattern Recognition Abbreviated Journal  
  Volume 4225 Issue Pages 178–187  
  Keywords  
  Abstract This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns.  
  Address Cancun (Mexico)  
  Corporate Author Thesis  
  Publisher Springer Verlag Place of Publication Berlin Heidelberg Editor .F. Mart ́ınez-Trinidad et al  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV;OR;MILAB;SIAI Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f Serial 728  
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