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You searched for subject:(Statistical shape modeling). Showing records 1 – 10 of 10 total matches.

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University of Oxford

1. Patenaude, Brian Matthew. Bayesian statistical models of shape and appearance for subcortical brain segmentation.

Degree: PhD, 2007, University of Oxford

 Our motivation is to develop an automated technique for the segmentation of sub-cortical human brain structures from MR images. To this purpose, models of shape-and-appearance… (more)

Subjects/Keywords: 615.84; Biomedical engineering; Mathematical modeling (engineering); Electrical engineering; segmentation; image processing; statistical shape models

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APA (6th Edition):

Patenaude, B. M. (2007). Bayesian statistical models of shape and appearance for subcortical brain segmentation. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:52f5fee0-60e8-4387-9560-728843e187b3 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491674

Chicago Manual of Style (16th Edition):

Patenaude, Brian Matthew. “Bayesian statistical models of shape and appearance for subcortical brain segmentation.” 2007. Doctoral Dissertation, University of Oxford. Accessed July 22, 2018. http://ora.ox.ac.uk/objects/uuid:52f5fee0-60e8-4387-9560-728843e187b3 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491674.

MLA Handbook (7th Edition):

Patenaude, Brian Matthew. “Bayesian statistical models of shape and appearance for subcortical brain segmentation.” 2007. Web. 22 Jul 2018.

Vancouver:

Patenaude BM. Bayesian statistical models of shape and appearance for subcortical brain segmentation. [Internet] [Doctoral dissertation]. University of Oxford; 2007. [cited 2018 Jul 22]. Available from: http://ora.ox.ac.uk/objects/uuid:52f5fee0-60e8-4387-9560-728843e187b3 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491674.

Council of Science Editors:

Patenaude BM. Bayesian statistical models of shape and appearance for subcortical brain segmentation. [Doctoral Dissertation]. University of Oxford; 2007. Available from: http://ora.ox.ac.uk/objects/uuid:52f5fee0-60e8-4387-9560-728843e187b3 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491674

2. Sade, Paul B., Sr. Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy.

Degree: MS, Computer Science and Engineering, 2017, U of Denver

  The fit of the humeral prosthesis to the intramedullary canal and the replication of the anatomic humeral head center are important factors in Total… (more)

Subjects/Keywords: Humerus; Modeling; PCA; Shape; SSM; Statistical; Biomedical Engineering and Bioengineering; Engineering; Mechanical Engineering

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APA (6th Edition):

Sade, Paul B., S. (2017). Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1289

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sade, Paul B., Sr. “Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy.” 2017. Thesis, U of Denver. Accessed July 22, 2018. https://digitalcommons.du.edu/etd/1289.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sade, Paul B., Sr. “Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy.” 2017. Web. 22 Jul 2018.

Vancouver:

Sade, Paul B. S. Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy. [Internet] [Thesis]. U of Denver; 2017. [cited 2018 Jul 22]. Available from: https://digitalcommons.du.edu/etd/1289.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sade, Paul B. S. Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy. [Thesis]. U of Denver; 2017. Available from: https://digitalcommons.du.edu/etd/1289

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Smoger, Lowell Matthew. Statistical Modeling to Investigate Anatomy and Function of the Knee.

Degree: PhD, Computer Science and Engineering, 2016, U of Denver

  The natural knee is a hinge joint with significant functional requirements during activities of daily living; as a result, acute and chronic injuries can… (more)

Subjects/Keywords: Fluoroscopy; Joint Mechanics; Kinematics; Knee Anatomy; Principal Component Analysis; Statistical Shape Modeling; Biomechanical Engineering; Mechanical Engineering

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APA (6th Edition):

Smoger, L. M. (2016). Statistical Modeling to Investigate Anatomy and Function of the Knee. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1123

Chicago Manual of Style (16th Edition):

Smoger, Lowell Matthew. “Statistical Modeling to Investigate Anatomy and Function of the Knee.” 2016. Doctoral Dissertation, U of Denver. Accessed July 22, 2018. https://digitalcommons.du.edu/etd/1123.

MLA Handbook (7th Edition):

Smoger, Lowell Matthew. “Statistical Modeling to Investigate Anatomy and Function of the Knee.” 2016. Web. 22 Jul 2018.

Vancouver:

Smoger LM. Statistical Modeling to Investigate Anatomy and Function of the Knee. [Internet] [Doctoral dissertation]. U of Denver; 2016. [cited 2018 Jul 22]. Available from: https://digitalcommons.du.edu/etd/1123.

Council of Science Editors:

Smoger LM. Statistical Modeling to Investigate Anatomy and Function of the Knee. [Doctoral Dissertation]. U of Denver; 2016. Available from: https://digitalcommons.du.edu/etd/1123

4. Sultana, Sharmin. Development of an Atlas-Based Segmentation of Cranial Nerves Using Shape-Aware Discrete Deformable Models for Neurosurgical Planning and Simulation.

Degree: PhD, Modeling Simul & Visual Engineering, 2017, Old Dominion University

  Twelve pairs of cranial nerves arise from the brain or brainstem and control our sensory functions such as vision, hearing, smell and taste as… (more)

Subjects/Keywords: Cranial nerves; Deformable atlas; Neurosurgical planning; Segmentation; Simulation; Statistical shape modeling; Bioelectrical and Neuroengineering; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Sultana, S. (2017). Development of an Atlas-Based Segmentation of Cranial Nerves Using Shape-Aware Discrete Deformable Models for Neurosurgical Planning and Simulation. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780355142051 ; http://digitalcommons.odu.edu/msve_etds/6

Chicago Manual of Style (16th Edition):

Sultana, Sharmin. “Development of an Atlas-Based Segmentation of Cranial Nerves Using Shape-Aware Discrete Deformable Models for Neurosurgical Planning and Simulation.” 2017. Doctoral Dissertation, Old Dominion University. Accessed July 22, 2018. 9780355142051 ; http://digitalcommons.odu.edu/msve_etds/6.

MLA Handbook (7th Edition):

Sultana, Sharmin. “Development of an Atlas-Based Segmentation of Cranial Nerves Using Shape-Aware Discrete Deformable Models for Neurosurgical Planning and Simulation.” 2017. Web. 22 Jul 2018.

Vancouver:

Sultana S. Development of an Atlas-Based Segmentation of Cranial Nerves Using Shape-Aware Discrete Deformable Models for Neurosurgical Planning and Simulation. [Internet] [Doctoral dissertation]. Old Dominion University; 2017. [cited 2018 Jul 22]. Available from: 9780355142051 ; http://digitalcommons.odu.edu/msve_etds/6.

Council of Science Editors:

Sultana S. Development of an Atlas-Based Segmentation of Cranial Nerves Using Shape-Aware Discrete Deformable Models for Neurosurgical Planning and Simulation. [Doctoral Dissertation]. Old Dominion University; 2017. Available from: 9780355142051 ; http://digitalcommons.odu.edu/msve_etds/6

5. Abdel Fatah, Emam ElHak. Three Dimensional Nonlinear Statistical Modeling Framework for Morphological Analysis.

Degree: 2012, University of Tennessee – Knoxville

 This dissertation describes a novel three-dimensional (3D) morphometric analysis framework for building statistical shape models and identifying shape differences between populations. This research generalizes the… (more)

Subjects/Keywords: Statistical Atlas; Statistical Shape Model; Morphology; Principal Component Analysis; Registration; Bone Modeling; Anthropology

…morphometric analysis framework for building statistical shape models and identifying shape… …statistical shape models, including benefits and limitations of each method, provide evidence of the… …20 STATISTICAL SHAPE MODELS… …45 STATISTICAL SHAPE ATLASES CREATION… …136 5.7.2.1 6. STATISTICAL SHAPE MODEL CREATION… 

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APA (6th Edition):

Abdel Fatah, E. E. (2012). Three Dimensional Nonlinear Statistical Modeling Framework for Morphological Analysis. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from http://trace.tennessee.edu/utk_graddiss/1505

Chicago Manual of Style (16th Edition):

Abdel Fatah, Emam ElHak. “Three Dimensional Nonlinear Statistical Modeling Framework for Morphological Analysis.” 2012. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed July 22, 2018. http://trace.tennessee.edu/utk_graddiss/1505.

MLA Handbook (7th Edition):

Abdel Fatah, Emam ElHak. “Three Dimensional Nonlinear Statistical Modeling Framework for Morphological Analysis.” 2012. Web. 22 Jul 2018.

Vancouver:

Abdel Fatah EE. Three Dimensional Nonlinear Statistical Modeling Framework for Morphological Analysis. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2018 Jul 22]. Available from: http://trace.tennessee.edu/utk_graddiss/1505.

Council of Science Editors:

Abdel Fatah EE. Three Dimensional Nonlinear Statistical Modeling Framework for Morphological Analysis. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2012. Available from: http://trace.tennessee.edu/utk_graddiss/1505

6. Xia, Ying. Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images.

Degree: School of Information Technology and Electrical Engineering, 2015, University of Queensland

Subjects/Keywords: Bone; Cartilage; Femoroacetabular impingement; Graph search; Hip joint; Magnetic resonance imaging; Quantitative measurement; Segmentation; Statistical shape modeling; 0801 Artificial Intelligence and Image Processing; 0903 Biomedical Engineering

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APA (6th Edition):

Xia, Y. (2015). Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:357667

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xia, Ying. “Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images.” 2015. Thesis, University of Queensland. Accessed July 22, 2018. http://espace.library.uq.edu.au/view/UQ:357667.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xia, Ying. “Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images.” 2015. Web. 22 Jul 2018.

Vancouver:

Xia Y. Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images. [Internet] [Thesis]. University of Queensland; 2015. [cited 2018 Jul 22]. Available from: http://espace.library.uq.edu.au/view/UQ:357667.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xia Y. Automated segmentation and quantitative analysis of the hip joint from magnetic resonance images. [Thesis]. University of Queensland; 2015. Available from: http://espace.library.uq.edu.au/view/UQ:357667

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

7. Setz, Tobias. Stable Portfolio Design Using Bayesian Change Point Models and Geometric Shape Factors.

Degree: 2017, ETH Zürich

 The goal of this thesis is to design stable portfolios that protect an investor from severe drawdowns in financial markets as they have occurred during… (more)

Subjects/Keywords: BAYESIAN THEORY (PROBABILITY THEORY); BAYESSCHE THEORIE (WAHRSCHEINLICHKEITSRECHNUNG); MARKOV CHAIN MONTE CARLO METHODS (MATHEMATICAL STATISTICS); MARKOVKETTEN-MONTE-CARLO-METHODEN (MATHEMATISCHE STATISTIK); PROBABILITY DISTRIBUTIONS + PROBABILITY DENSITIES (PROBABILITY THEORY); WAHRSCHEINLICHKEITSVERTEILUNGEN + WAHRSCHEINLICHKEITSDICHTEN (WAHRSCHEINLICHKEITSRECHNUNG); STATISTICAL ANALYSIS AND INFERENCE METHODS (MATHEMATICAL STATISTICS); STATISTISCHE ANALYSE UND INFERENZMETHODEN (MATHEMATISCHE STATISTIK); MORPHOLOGICAL AND GEOMETRIC SHAPE FACTORS; MORPHOLOGISCHE- UND GEOMETRISCHE-FORM-FAKTOREN; NUMERICAL SIMULATION AND MATHEMATICAL MODELING; NUMERISCHE SIMULATION UND MATHEMATISCHE MODELLRECHNUNG; STATISTICAL MODELS (MATHEMATICAL STATISTICS); STATISTISCHE MODELLE (MATHEMATISCHE STATISTIK); RISIKOMANAGEMENT (BETRIEBSWIRTSCHAFT); RISK MANAGEMENT (BUSINESS ECONOMICS); ASSET ALLOCATION (INVESTMENT STRATEGIES); PORTFOLIO-STRUKTURIERUNG (ANLAGESTRATEGIEN)

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APA (6th Edition):

Setz, T. (2017). Stable Portfolio Design Using Bayesian Change Point Models and Geometric Shape Factors. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/244960

Chicago Manual of Style (16th Edition):

Setz, Tobias. “Stable Portfolio Design Using Bayesian Change Point Models and Geometric Shape Factors.” 2017. Doctoral Dissertation, ETH Zürich. Accessed July 22, 2018. http://hdl.handle.net/20.500.11850/244960.

MLA Handbook (7th Edition):

Setz, Tobias. “Stable Portfolio Design Using Bayesian Change Point Models and Geometric Shape Factors.” 2017. Web. 22 Jul 2018.

Vancouver:

Setz T. Stable Portfolio Design Using Bayesian Change Point Models and Geometric Shape Factors. [Internet] [Doctoral dissertation]. ETH Zürich; 2017. [cited 2018 Jul 22]. Available from: http://hdl.handle.net/20.500.11850/244960.

Council of Science Editors:

Setz T. Stable Portfolio Design Using Bayesian Change Point Models and Geometric Shape Factors. [Doctoral Dissertation]. ETH Zürich; 2017. Available from: http://hdl.handle.net/20.500.11850/244960

8. Ρούσσος, Αναστάσιος. Μη-γραμμική διάχυση στην όραση υπολογιστών και στατιστικά μοντέλα σχήματος με εφαρμογές στην ανάλυση εικόνων αρθρωτών φωνητικού και νοημ...

Degree: 2010, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

In this work, Nonlinear Diffusion models for image simplification and image restoration are developed. In addition, the framework of Statistical Shape Models is used for… (more)

Subjects/Keywords: Μη-γραμμική διάχυση; Μερικές διαφορικές εξισώσεις και μεταβολικές μέθοδοι; Στατιστικά μοντέλα σχήματος; Βελτίωση της ποιότητας εικόνων; Οπτικός εντοπισμός και αναγνώριση αντικειμένων; Παρακολούθηση της γλώσσας ομιλητή σε βίντεο υπερήχων; Μοντελοποίηση χειρομορφών; Αυτόματη αναγνώριση νοηματικής γλώσσας; Nonlinear diffusion; Partial differential equations and Variational methods; Statistical shape models; Image restoration; Object detection and recognition; Speaker’s tongue tracking in ultrasound videos; Handshape modeling; Automatic sign language recognition

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APA (6th Edition):

Ρούσσος, . . (2010). Μη-γραμμική διάχυση στην όραση υπολογιστών και στατιστικά μοντέλα σχήματος με εφαρμογές στην ανάλυση εικόνων αρθρωτών φωνητικού και νοημ... (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/27497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ρούσσος, Αναστάσιος. “Μη-γραμμική διάχυση στην όραση υπολογιστών και στατιστικά μοντέλα σχήματος με εφαρμογές στην ανάλυση εικόνων αρθρωτών φωνητικού και νοημ...” 2010. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed July 22, 2018. http://hdl.handle.net/10442/hedi/27497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ρούσσος, Αναστάσιος. “Μη-γραμμική διάχυση στην όραση υπολογιστών και στατιστικά μοντέλα σχήματος με εφαρμογές στην ανάλυση εικόνων αρθρωτών φωνητικού και νοημ...” 2010. Web. 22 Jul 2018.

Vancouver:

Ρούσσος . Μη-γραμμική διάχυση στην όραση υπολογιστών και στατιστικά μοντέλα σχήματος με εφαρμογές στην ανάλυση εικόνων αρθρωτών φωνητικού και νοημ... [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2010. [cited 2018 Jul 22]. Available from: http://hdl.handle.net/10442/hedi/27497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ρούσσος . Μη-γραμμική διάχυση στην όραση υπολογιστών και στατιστικά μοντέλα σχήματος με εφαρμογές στην ανάλυση εικόνων αρθρωτών φωνητικού και νοημ... [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2010. Available from: http://hdl.handle.net/10442/hedi/27497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Ha, Jin-cheol. Real-time visual tracking using image processing and filtering methods.

Degree: PhD, Aerospace Engineering, 2008, Georgia Tech

 The main goal of this thesis is to develop real-time computer vision algorithms in order to detect and to track targets in uncertain complex environments… (more)

Subjects/Keywords: Visual tracking; Image processing; Nonlinear filtering; Statistical estimation; Shape modeling.; Computer vision; Image processing Digital techniques; Real-time data processing; Algorithms

…segmentation, shape modeling, and signal filtering. We have designed image segmentation algorithms… …dimensional function is used. This is named as contour-based shape modeling. Filtering is an… …FICVM. The dissimilarity measure is calculated by the contour based shape modeling method and… …active contours, contour-based shape modeling, and particle filtering in the geometric active… …function). This is named as contour-based shape modeling. The target’s shape may change over… 

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APA (6th Edition):

Ha, J. (2008). Real-time visual tracking using image processing and filtering methods. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28177

Chicago Manual of Style (16th Edition):

Ha, Jin-cheol. “Real-time visual tracking using image processing and filtering methods.” 2008. Doctoral Dissertation, Georgia Tech. Accessed July 22, 2018. http://hdl.handle.net/1853/28177.

MLA Handbook (7th Edition):

Ha, Jin-cheol. “Real-time visual tracking using image processing and filtering methods.” 2008. Web. 22 Jul 2018.

Vancouver:

Ha J. Real-time visual tracking using image processing and filtering methods. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2018 Jul 22]. Available from: http://hdl.handle.net/1853/28177.

Council of Science Editors:

Ha J. Real-time visual tracking using image processing and filtering methods. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/28177


University of Oxford

10. Casero Cañas, Ramón. Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework.

Degree: 2008, University of Oxford

 This biomedical engineering thesis explores the opportunities and challenges of 2D+t contrast echocardiography for left ventricle functional analysis, both clinically and within a computer vision… (more)

Subjects/Keywords: 615.84; Life Sciences : Bioinformatics (life sciences) : Physiology and anatomy : Biology and other natural sciences (mathematics) : Mathematical biology : Statistical mechanics,structure of matter (mathematics) : Medical Sciences : Anatomy : Cardiovascular disease : Mathematical genetics and bioinformatics (statistics) : Bioinformatics (technology) : Computing : Applications and algorithms : Engineering & allied sciences : Biomedical engineering : Information engineering : Image understanding : Mathematical modeling (engineering) : Medical Engineering : contrast : echocardiography : left ventricle : functional analysis : deformable template model : Dobutamine Stress Echo : endocardium : global function : local function : visual scoring : segmentation : landmark : texture : geometry : kinetics : shape : probabilistic atlas : Power Modulation : Principal Component Analysis : Gaussianity : correlation matrix : covariance matrix : dimensionality : Active Appearance Model : spatio-temporal model : cardiac contours : inverse compositional algorithm : Lucas-Kanade : gradient descent

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APA (6th Edition):

Casero Cañas, R. (2008). Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:b17b3670-551d-4549-8f10-d977295c1857 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504312

Chicago Manual of Style (16th Edition):

Casero Cañas, Ramón. “Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework.” 2008. Doctoral Dissertation, University of Oxford. Accessed July 22, 2018. http://ora.ox.ac.uk/objects/uuid:b17b3670-551d-4549-8f10-d977295c1857 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504312.

MLA Handbook (7th Edition):

Casero Cañas, Ramón. “Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework.” 2008. Web. 22 Jul 2018.

Vancouver:

Casero Cañas R. Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework. [Internet] [Doctoral dissertation]. University of Oxford; 2008. [cited 2018 Jul 22]. Available from: http://ora.ox.ac.uk/objects/uuid:b17b3670-551d-4549-8f10-d977295c1857 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504312.

Council of Science Editors:

Casero Cañas R. Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework. [Doctoral Dissertation]. University of Oxford; 2008. Available from: http://ora.ox.ac.uk/objects/uuid:b17b3670-551d-4549-8f10-d977295c1857 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504312

.