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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Facial Expression Recognition for HCI Applications |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Encyclopedia of Artificial Intelligence |
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Volume |
II |
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Pages |
625–631 |
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IGI–Global Publisher |
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Rabuñal |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ DoR2008c |
Serial |
1034 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
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Title |
Dynamic Vs. Static Recognition of Facial Expressions |
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Book Chapter |
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Year |
2008 |
Publication |
Ambient Intelligence. European Conference |
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Volume |
5355 |
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13–25 |
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Nuremberg (Germany) |
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Rabuñal |
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AMI |
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OR; MV |
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no |
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BCNPCL @ bcnpcl @ RaD2008 |
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1035 |
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Author |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva |
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Title |
Robust Image-based IVUS Pullbacks Gating |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention |
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Volume |
5242 |
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518–525 |
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NY (USA) |
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MICCAI |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ GPR2008a |
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1037 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Real Time Image Registration for Planar Structure and 3D Sensor Pose Estimation |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Stereo Vision |
Abbreviated Journal |
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Volume |
18 |
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Pages |
299–316 |
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Asim Bhatti |
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ADAS |
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no |
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ADAS @ adas @ DoS2008c |
Serial |
1057 |
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Author |
Josep Llados; Marçal Rusiñol |
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Title |
Graphics Recognition Techniques |
Type |
Book Chapter |
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Year |
2014 |
Publication |
Handbook of Document Image Processing and Recognition |
Abbreviated Journal |
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Volume |
D |
Issue |
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Pages |
489-521 |
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Keywords |
Dimension recognition; Graphics recognition; Graphic-rich documents; Polygonal approximation; Raster-to-vector conversion; Texture-based primitive extraction; Text-graphics separation |
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Abstract |
This chapter describes the most relevant approaches for the analysis of graphical documents. The graphics recognition pipeline can be splitted into three tasks. The low level or lexical task extracts the basic units composing the document. The syntactic level is focused on the structure, i.e., how graphical entities are constructed, and involves the location and classification of the symbols present in the document. The third level is a functional or semantic level, i.e., it models what the graphical symbols do and what they mean in the context where they appear. This chapter covers the lexical level, while the next two chapters are devoted to the syntactic and semantic level, respectively. The main problems reviewed in this chapter are raster-to-vector conversion (vectorization algorithms) and the separation of text and graphics components. The research and industrial communities have provided standard methods achieving reasonable performance levels. Hence, graphics recognition techniques can be considered to be in a mature state from a scientific point of view. Additionally this chapter provides insights on some related problems, namely, the extraction and recognition of dimensions in engineering drawings, and the recognition of hatched and tiled patterns. Both problems are usually associated, even integrated, in the vectorization process. |
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Springer London |
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D. Doermann; K. Tombre |
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978-0-85729-858-4 |
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Notes |
DAG; 600.077 |
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no |
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Call Number |
Admin @ si @ LlR2014 |
Serial |
2380 |
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Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
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Title |
Categorization of Digital Ink Elements using Spectral Features |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
Abbreviated Journal |
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Volume |
5046 |
Issue |
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Pages |
188–198 |
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Springer–Verlag |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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DAG |
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no |
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Call Number |
DAG @ dag @ RSL2008 |
Serial |
1099 |
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Author |
David Aldavert; Ricardo Toledo |
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Title |
Stereo Vision Local Map Alignment for Robot Environment Mapping |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Robot Vision Second International Workshop, RobVis |
Abbreviated Journal |
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Volume |
4931 |
Issue |
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Pages |
111–124 |
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Address |
Auckland (New Zealand) |
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ADAS |
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no |
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Call Number |
Admin @ si @ AlT2008 |
Serial |
1100 |
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Author |
Niki Aifanti; Angel Sappa; N. Grammalidis; Sotiris Malassiotis |
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Title |
Advances in Tracking and Recognition of Human Motion |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Encyclopedia of Information Science and Technology |
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Volume |
I |
Issue |
2nd edition |
Pages |
65–71 |
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ADAS |
Approved |
no |
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ADAS @ adas @ ASG2009 |
Serial |
1143 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Exploiting Natural Language Generation in Scene Interpretation |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Human–Centric Interfaces for Ambient Intelligence |
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Volume |
4 |
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Pages |
71–93 |
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Elsevier Science and Tech |
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ISE |
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no |
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ISE @ ise @ FBR2009 |
Serial |
1212 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title |
Prior Knowledge Based Motion Model Representation |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Progress in Computer Vision and Image Analysis |
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Volume |
16 |
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Horst Bunke; JuanJose Villanueva; Gemma Sanchez |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ SAM2009 |
Serial |
1235 |
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Author |
David Geronimo; Angel Sappa; Antonio Lopez |
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Title |
Stereo-based Candidate Generation for Pedestrian Protection Systems |
Type |
Book Chapter |
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Year |
2010 |
Publication |
Binocular Vision: Development, Depth Perception and Disorders |
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9 |
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189–208 |
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Pedestrian Detection |
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Abstract |
This chapter describes a stereo-based algorithm that provides candidate image windows to a latter 2D classification stage in an on-board pedestrian detection system. The proposed algorithm, which consists of three stages, is based on the use of both stereo imaging and scene prior knowledge (i.e., pedestrians are on the ground) to reduce the candidate searching space. First, a successful road surface fitting algorithm provides estimates on the relative ground-camera pose. This stage directs the search toward the road area thus avoiding irrelevant regions like the sky. Then, three different schemes are used to scan the estimated road surface with pedestrian-sized windows: (a) uniformly distributed through the road surface (3D); (b) uniformly distributed through the image (2D); (c) not uniformly distributed but according to a quadratic function (combined 2D-3D). Finally, the set of candidate windows is reduced by analyzing their 3D content. Experimental results of the proposed algorithm, together with statistics of searching space reduction are provided. |
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NOVA Publishers |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ GSL2010 |
Serial |
1301 |
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Author |
Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva |
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Title |
Classification of Coronary Damage in Chronic Chagasic Patients |
Type |
Book Chapter |
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Year |
2010 |
Publication |
Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence |
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299 |
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461-478 |
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Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding |
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Abstract |
Post Conference IEEE-IS 2008
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to detect and measure the coronary damage of the patient. In this paper,
we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC)is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs. |
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Springer-Verlag |
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V. Sgurev, M. Hadjiski (eds) |
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OR;MILAB;HUPBA;MV |
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no |
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BCNPCL @ bcnpcl @ EPL2010 |
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1452 |
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Author |
Thierry Brouard; A. Delaplace; Muhammad Muzzamil Luqman; H. Cardot; Jean-Yves Ramel |
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Title |
Design of Evolutionary Methods Applied to the Learning of Bayesian Nerwork Structures |
Type |
Book Chapter |
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Year |
2010 |
Publication |
Bayesian Network |
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13-37 |
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Sciyo |
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Ahmed Rebai |
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978-953-307-124-4 |
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no |
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Admin @ si @ BDL2010 |
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1461 |
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Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
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Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
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Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
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37-44 |
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MR; tagged MR; ASM; LV segmentation; motion estimation. |
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Abstract |
Tagged magnetic resonance is a very usefull and unique tool that provides a complete local and global knowledge of the left ventricle (LV) motion. In this article we introduce a method capable of tracking and segmenting the LV. Spectral methods are applied in order to obtain the so called HARP images which encode information about movement and are the base for LV point-tracking. For segmentation we use Active Shapes (ASM) that model LV shape variation in order to overcome possible local misplacements of the boundary. We finally show experiments on both synthetic and real data which appear to be very promising. |
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IOS Press |
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CCIA |
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IAM;MILAB |
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no |
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IAM @ iam @ GRC2004 |
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1488 |
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Author |
Jaume Garcia; Debora Gil; Aura Hernandez-Sabate |
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Title |
Endowing Canonical Geometries to Cardiac Structures |
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Book Chapter |
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Year |
2010 |
Publication |
Statistical Atlases And Computational Models Of The Heart |
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6364 |
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124-133 |
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Abstract |
International conference on Cardiac electrophysiological simulation challenge
In this paper, we show that canonical (shape-based) geometries can be endowed to cardiac structures using tubular coordinates defined over their medial axis. We give an analytic formulation of these geometries by means of B-Splines. Since B-Splines present vector space structure PCA can be applied to their control points and statistical models relating boundaries and the interior of the anatomical structures can be derived. We demonstrate the applicability in two cardiac structures, the 3D Left Ventricular volume, and the 2D Left-Right ventricle set in 2D Short Axis view. |
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Springer Berlin / Heidelberg |
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Camara, O.; Pop, M.; Rhode, K.; Sermesant, M.; Smith, N.; Young, A. |
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Lecture Notes in Computer Science |
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IAM |
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IAM @ iam @ GGH2010b |
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1515 |
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