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Author |
Anna Salvatella |
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On texture description |
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2001 |
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CVC Technical Report #55 |
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Admin @ si @ Sal2001 |
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161 |
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Author |
Nataliya Shapovalova |
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Title |
On Importance of Interaction and Context |
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2010 |
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CVC Technical Report |
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155 |
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ISE |
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Admin @ si @ Sha2010 |
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1355 |
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Author |
Enric Sala |
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Title |
Off-line person-dependent signature verification |
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2009 |
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CVC Technical Report |
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146 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Sal2009 |
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2400 |
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Author |
Ahmed Mounir Gad |
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Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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152 |
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Admin @ si @ Mou2010 |
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1346 |
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Author |
Javier Varona; Juan J. Villanueva |
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Title |
Neural networks as spatial filters for image processing: Neurofilters |
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1996 |
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Technical Report #07 |
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ISE @ ise @ VaV1996 |
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95 |
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Author |
Carles Fernandez |
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Title |
Natural Language for Human Behavior Evaluation in Video Sequences |
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2007 |
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CVC Technical Report #101 |
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Admin @ si @ Fer2007 |
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817 |
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Author |
Ariel Amato |
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Title |
Multiple Camera Calibration for Trajectories Tracking |
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2007 |
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CVC Technical Report #112 |
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ISE |
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Admin @ si @ Ama2007a |
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824 |
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Author |
Carme Julia |
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Title |
Motion segmentation through factorization. Application to night driving assistance |
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2004 |
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CVC Technical Report #79 |
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Admin @ si @ 38169 |
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506 |
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Author |
Jordi Vitria; C. Gratin; D. Seron; F. Moreso |
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Title |
Morphological image analysis for quantification of renal damage |
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1995 |
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CVC Technical Report #02 |
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OR;MV |
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BCNPCL @ bcnpcl @ VGS1995 |
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117 |
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Author |
Diego Alejandro Cheda |
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Title |
Monocular egomotion estimation for ADAS application |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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148 |
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Corporate Author |
Computer Vision Center |
Thesis |
Ph.D. thesis |
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Bellaterra, Barcelona |
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ADAS |
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no |
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Admin @ si @ Che2009 |
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2402 |
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Author |
X. Orriols |
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Title |
Models locals lineals per a l´analisi d´imatges |
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1999 |
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CVC Technical Report #31 |
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Admin @ si @ Orr1999 |
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192 |
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Author |
Oriol Pujol |
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Title |
Model-based three dimensional interpolation of IVUS images |
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1999 |
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CVC Technical Report #27 |
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HuPBA;MILAB |
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no |
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BCNPCL @ bcnpcl @ Puj1999 |
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49 |
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Author |
David Geronimo |
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Title |
Model Features and Horizon Line Estimation for Pedestrian Detection in Advanced Driver Assistance Systems |
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2006 |
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CVC Technical Report #98 |
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Master's thesis |
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ADAS |
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no |
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ADAS @ adas @ Ger2006 |
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737 |
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Author |
Laura Ruiz |
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Title |
Methods about Pattern Recognition |
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2007 |
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CVC Technical Report #114 |
Abbreviated Journal |
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Admin @ si @ Rui2007 |
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834 |
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Author |
Albert Andaluz |
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Title |
LV Contour Segmentation in TMR images using Semantic Description of Tissue and Prior Knowledge Correction |
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Year |
2009 |
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CVC Technical Report |
Abbreviated Journal |
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Volume |
142 |
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Keywords |
Active Contour Models; Snakes; Active Shape Models; Deformable Templates; Left Ventricle Segmentation; Generalized Orthogonal Procrustes Analysis; Harmonic Phase Flow; Principal Component Analysis; Tagged Magnetic Resonance |
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Abstract |
The Diagnosis of Left Ventricle (LV) pathologies is related to regional wall motion analysis. Health indicator scores such as the rotation and the torsion are useful for the diagnose of the Left Ventricle (LV) function. However, this requires proper identification of LV segments. On one hand, manual segmentation is robust, but it is slow and requires medical expertise. On the other hand, the tag pattern in Tagged Magnetic Resonance (TMR) sequences is a problem for the automatic segmentation of the LV boundaries. Consequently, we propose a method based in the classical formulation of parametric Snakes, combined with Active Shape models. Our semantic definition of the LV is tagged tissue that experiences motion in the systolic cycle. This defines two energy potentials for the Snake convergence. Additionally, the mean shape corrects excessive deviation from the anatomical shape. We have validated our approach in 15 healthy volunteers and two short axis cuts. In this way, we have compared the automatic segmentations to manual shapes outlined by medical experts. Also, we have explored the accuracy of clinical scores computed using automatic contours. The results show minor divergence in the approximation and the manual segmentations as well as robust computation of clinical scores in all cases. From this we conclude that the proposed method is a promising support tool for clinical analysis. |
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Bellaterra 08193, Barcelona, Spain |
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IAM; |
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no |
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Call Number |
IAM @ iam @ And2009 |
Serial |
1667 |
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