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Author |
Sebastian Ramos |
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Title |
Vision-based Detection of Road Hazards for Autonomous Driving |
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2014 |
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CVC Technical Report |
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UAB; September 2014 |
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Master's thesis |
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ADAS; 600.076 |
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no |
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Admin @ si @ Ram2014 |
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2580 |
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Author |
Daniel Hernandez; Alejandro Chacon; Antonio Espinosa; David Vazquez; Juan Carlos Moure; Antonio Lopez |
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Title |
Stereo Matching using SGM on the GPU |
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Report |
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2016 |
Publication |
Programming and Tuning Massively Parallel Systems |
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PUMPS |
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Keywords |
CUDA; Stereo; Autonomous Vehicle |
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Abstract |
Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles. Semi-Global Matching (SGM) is a widely used algorithm that propagates consistency constraints along several paths across the image. This work presents a real-time system producing reliable disparity estimation results on the new embedded energy efficient GPU devices. Our design runs on a Tegra X1 at 42 frames per second (fps) for an image size of 640x480, 128 disparity levels, and using 4 path directions for the SGM method. |
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ADAS; 600.085; 600.087; 600.076 |
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ADAS @ adas @ HCE2016b |
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2776 |
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Author |
Albert Gordo |
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Title |
A Cyclic Page Layout Descriptor for Document Classification & Retrieval |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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128 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC;DAG |
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no |
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Admin @ si @ Gor2009 |
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2387 |
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Author |
Noha Elfiky |
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Title |
Enhancing Local Binary Patterns with Spatial Pyramid Kernel: Application to Scene Classification |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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129 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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ISE |
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no |
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Admin @ si @ Elf2009 |
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2388 |
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Author |
Hany Salah Eldeen |
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Title |
Colour Naming in Context through a Perceptual Model |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
130 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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no |
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Admin @ si @ Eld2009 |
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2389 |
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Author |
Naila Murray |
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Title |
Perceptual Feature Detection |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
131 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
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no |
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Admin @ si @ Mur2009 |
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2390 |
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Author |
Josep M. Gonfaus |
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Title |
Semantic Segmentation of Images Using Random Ferns |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
132 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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ISE |
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no |
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Admin @ si @ Gon2009 |
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2391 |
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Author |
David Augusto Rojas |
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Title |
Colouring Local Feature Detection for Matching |
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Report |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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133 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC |
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no |
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Admin @ si @ Roj2009 |
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2392 |
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Author |
Juan Diego Gomez |
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Title |
Toward Robust Myocardial Blush Grade Estimation in Contrast Angiography |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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134 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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MILAB |
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no |
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Admin @ si @ Gom2009 |
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2393 |
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Author |
Olivier Penacchio |
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Title |
Relative Density of L, M, S photoreceptors in the Human Retina |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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135 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
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no |
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Admin @ si @ Pen2009 |
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2394 |
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Author |
Xavier Boix |
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Title |
Learning Conditional Random Fields for Stereo |
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Report |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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136 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC |
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no |
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Admin @ si @ Boi2009 |
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2395 |
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Author |
Shida Beigpour |
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Title |
Physics-based Reflectance Estimation Applied to Recoloring |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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137 |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC |
Approved |
no |
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Call Number |
Admin @ si @ Bei2009 |
Serial |
2396 |
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Author |
Mohammad Rouhani |
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Title |
3D Data Fitting and Tracking for Real Time Applications |
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Report |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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138 |
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138 |
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Barcelona, Spain |
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Master's thesis |
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invisible;ADAS |
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no |
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Call Number |
Admin @ si @ Rou2009 |
Serial |
1150 |
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Author |
Jorge Bernal |
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Title |
Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction |
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Report |
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Year |
2009 |
Publication |
CVC Tecnical Report |
Abbreviated Journal |
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Volume |
141 |
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Keywords |
Projection, Back-projection, CT scan, Euclidean geometry, Radon transform |
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Abstract |
One of the biggest drawbacks related to the use of CT scanners is the cost (in memory and in time) associated. In this project many methods to simulate their functioning, but in a more feasible way (taking an industrial point of view), will be studied.
The main group of techniques that are being used are the one entitled as ’back-projection’. The concept behind is to simulate the X ray emission in CT scans by lines that cross with the image we want to reconstruct.
In the first part of this document euclidean geometry is used to face the tasks of projec- tion and back-projection. After analysing the results achieved it has been proved that this approach does not lead to a fully perfect reconstruction (and also has some other problems related to running time and memory cost). Because of this in the second part of the document ’Filtered Back-projection’ method is introduced in order to improve the results.
Filtered Back-projection methods rely on mathematical transforms (Fourier, Radon) in order to provide more accurate results that can be obtained in much less time. The main cause of this better results is the use of a filtering process before the back-projection in order to avoid high frequency-caused errors.
As a result of this project two different implementations (one for each approach) had been implemented in order to compare their performance. |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Barcelona, Spain |
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800 |
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MV; |
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no |
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Call Number |
IAM @ iam @ Ber2009 |
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1693 |
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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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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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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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Master's thesis |
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Bellaterra 08193, Barcelona, Spain |
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IAM; |
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IAM @ iam @ And2009 |
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1667 |
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