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You searched for subject:( Parameter reconstruction). Showing records 1 – 20 of 20 total matches.

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McMaster University

1. MOHAMMAD, KAZEMI EHSAN. An Empirical Study of Algebraic Reconstruction Techniques.

Degree: MCS, 2011, McMaster University

A computerized tomography scan enables the visualization of an object interior without opening it up. This technique is used in many fields e.g. in… (more)

Subjects/Keywords: Algebraic Reconstruction Techniques; Kaczmarz`s method; Relaxation Parameter; SART; Biomedical; Other Computer Engineering; Biomedical

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APA (6th Edition):

MOHAMMAD, K. E. (2011). An Empirical Study of Algebraic Reconstruction Techniques. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/11113

Chicago Manual of Style (16th Edition):

MOHAMMAD, KAZEMI EHSAN. “An Empirical Study of Algebraic Reconstruction Techniques.” 2011. Masters Thesis, McMaster University. Accessed October 14, 2019. http://hdl.handle.net/11375/11113.

MLA Handbook (7th Edition):

MOHAMMAD, KAZEMI EHSAN. “An Empirical Study of Algebraic Reconstruction Techniques.” 2011. Web. 14 Oct 2019.

Vancouver:

MOHAMMAD KE. An Empirical Study of Algebraic Reconstruction Techniques. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/11375/11113.

Council of Science Editors:

MOHAMMAD KE. An Empirical Study of Algebraic Reconstruction Techniques. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/11113


Brigham Young University

2. Gunn, Brian Adam. Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System.

Degree: MS, 2010, Brigham Young University

  AMSR-E is a space-borne radiometer which measures Earth microwave emissions or brightness temperatures (Tb) over a wide swath. AMSR-E data and images are useful… (more)

Subjects/Keywords: AMSR-E; radiometer; image reconstruction; deconvolution; aperture function; parameter tuning; Electrical and Computer Engineering

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APA (6th Edition):

Gunn, B. A. (2010). Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3164&context=etd

Chicago Manual of Style (16th Edition):

Gunn, Brian Adam. “Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System.” 2010. Masters Thesis, Brigham Young University. Accessed October 14, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3164&context=etd.

MLA Handbook (7th Edition):

Gunn, Brian Adam. “Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System.” 2010. Web. 14 Oct 2019.

Vancouver:

Gunn BA. Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System. [Internet] [Masters thesis]. Brigham Young University; 2010. [cited 2019 Oct 14]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3164&context=etd.

Council of Science Editors:

Gunn BA. Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System. [Masters Thesis]. Brigham Young University; 2010. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3164&context=etd


University of Arizona

3. Huang, Chuan. Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data .

Degree: 2011, University of Arizona

 The work presented in this dissertation involves the development of parametric magnetic resonance imaging (MRI) techniques that can be used in a clinical set up.… (more)

Subjects/Keywords: radial MRI; relaxometry; T2 estimation; T2 mapping; Mathematics; image reconstruction; MR parameter estimation

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APA (6th Edition):

Huang, C. (2011). Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/203531

Chicago Manual of Style (16th Edition):

Huang, Chuan. “Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data .” 2011. Doctoral Dissertation, University of Arizona. Accessed October 14, 2019. http://hdl.handle.net/10150/203531.

MLA Handbook (7th Edition):

Huang, Chuan. “Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data .” 2011. Web. 14 Oct 2019.

Vancouver:

Huang C. Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10150/203531.

Council of Science Editors:

Huang C. Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/203531

4. Zhang, Cheng. Contribution à la modélisation morphofonctionnelle 3D de l’épaule : Three-Dimensional morphology and function modeling of healthy, injured and prosthetic shoulders.

Degree: Docteur es, Biomécanique et ingénierie pour la santé, 2016, Paris, ENSAM; École de technologie supérieure (Montréal, Canada)

RERUME: Les modèles personnalisés 3D sont de plus en plus demandés pour la planification chirurgicale et les recherches en biomécanique. L’objectif principal de cette thèse… (more)

Subjects/Keywords: Epaule; Reconstruction 3D à partir d'images multiples; Indice clinique; Prothèse d'épaule; Rupture de la coiffe des rotateur; Shoulder; 3D reconstruction from multiple images; Clinical parameter; Shoulder prosthesis; Rotator cuff tears

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APA (6th Edition):

Zhang, C. (2016). Contribution à la modélisation morphofonctionnelle 3D de l’épaule : Three-Dimensional morphology and function modeling of healthy, injured and prosthetic shoulders. (Doctoral Dissertation). Paris, ENSAM; École de technologie supérieure (Montréal, Canada). Retrieved from http://www.theses.fr/2016ENAM0072

Chicago Manual of Style (16th Edition):

Zhang, Cheng. “Contribution à la modélisation morphofonctionnelle 3D de l’épaule : Three-Dimensional morphology and function modeling of healthy, injured and prosthetic shoulders.” 2016. Doctoral Dissertation, Paris, ENSAM; École de technologie supérieure (Montréal, Canada). Accessed October 14, 2019. http://www.theses.fr/2016ENAM0072.

MLA Handbook (7th Edition):

Zhang, Cheng. “Contribution à la modélisation morphofonctionnelle 3D de l’épaule : Three-Dimensional morphology and function modeling of healthy, injured and prosthetic shoulders.” 2016. Web. 14 Oct 2019.

Vancouver:

Zhang C. Contribution à la modélisation morphofonctionnelle 3D de l’épaule : Three-Dimensional morphology and function modeling of healthy, injured and prosthetic shoulders. [Internet] [Doctoral dissertation]. Paris, ENSAM; École de technologie supérieure (Montréal, Canada); 2016. [cited 2019 Oct 14]. Available from: http://www.theses.fr/2016ENAM0072.

Council of Science Editors:

Zhang C. Contribution à la modélisation morphofonctionnelle 3D de l’épaule : Three-Dimensional morphology and function modeling of healthy, injured and prosthetic shoulders. [Doctoral Dissertation]. Paris, ENSAM; École de technologie supérieure (Montréal, Canada); 2016. Available from: http://www.theses.fr/2016ENAM0072

5. Michels, Yves. Reconstruction tomographique d'objets déformables pour la cryo-microscopie électronique à particules isolées : TomographIc reconstruction for deformable object applied to single particle cryo-electron microscopy.

Degree: Docteur es, Informatique, 2018, Université de Strasbourg

La cryo-microscopie électronique à particules isolées est une modalité d’imagerie permettant d’estimer la structure 3D de molécules. L’obtention d’un volume 3D est effectué par des… (more)

Subjects/Keywords: Tomographie; Réduction de dimension non linéaire; Reconstruction ab-initio; Estimation de paramètre; Problème inverse; Tomography; Manifold learning; Ab-initio reconstruction; Parameter estimation; Inverse problem; 006.3; 621.381

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APA (6th Edition):

Michels, Y. (2018). Reconstruction tomographique d'objets déformables pour la cryo-microscopie électronique à particules isolées : TomographIc reconstruction for deformable object applied to single particle cryo-electron microscopy. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2018STRAD031

Chicago Manual of Style (16th Edition):

Michels, Yves. “Reconstruction tomographique d'objets déformables pour la cryo-microscopie électronique à particules isolées : TomographIc reconstruction for deformable object applied to single particle cryo-electron microscopy.” 2018. Doctoral Dissertation, Université de Strasbourg. Accessed October 14, 2019. http://www.theses.fr/2018STRAD031.

MLA Handbook (7th Edition):

Michels, Yves. “Reconstruction tomographique d'objets déformables pour la cryo-microscopie électronique à particules isolées : TomographIc reconstruction for deformable object applied to single particle cryo-electron microscopy.” 2018. Web. 14 Oct 2019.

Vancouver:

Michels Y. Reconstruction tomographique d'objets déformables pour la cryo-microscopie électronique à particules isolées : TomographIc reconstruction for deformable object applied to single particle cryo-electron microscopy. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2018. [cited 2019 Oct 14]. Available from: http://www.theses.fr/2018STRAD031.

Council of Science Editors:

Michels Y. Reconstruction tomographique d'objets déformables pour la cryo-microscopie électronique à particules isolées : TomographIc reconstruction for deformable object applied to single particle cryo-electron microscopy. [Doctoral Dissertation]. Université de Strasbourg; 2018. Available from: http://www.theses.fr/2018STRAD031


University of Manchester

6. May, Michael. Data analytics and methods for improved feature selection and matching.

Degree: PhD, 2012, University of Manchester

 This work focuses on analysing and improving feature detection and matching. After creating an initial framework of study, four main areas of work are researched.… (more)

Subjects/Keywords: 005.74; Features; SIFT; Scale Invariant Feature Transform; Parameters; Parameter Sweep; Genetic Algorithm; A Contrario; High Dynamic Range; Match Weighting; Feature Fusion; FAW; FEWER; 3D Reconstruction

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APA (6th Edition):

May, M. (2012). Data analytics and methods for improved feature selection and matching. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/data-analytics-and-methods-for-improved-feature-selection-and-matching(965ded10-e3a0-4ed5-8145-2af7a8b5e35d).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555532

Chicago Manual of Style (16th Edition):

May, Michael. “Data analytics and methods for improved feature selection and matching.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 14, 2019. https://www.research.manchester.ac.uk/portal/en/theses/data-analytics-and-methods-for-improved-feature-selection-and-matching(965ded10-e3a0-4ed5-8145-2af7a8b5e35d).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555532.

MLA Handbook (7th Edition):

May, Michael. “Data analytics and methods for improved feature selection and matching.” 2012. Web. 14 Oct 2019.

Vancouver:

May M. Data analytics and methods for improved feature selection and matching. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Oct 14]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/data-analytics-and-methods-for-improved-feature-selection-and-matching(965ded10-e3a0-4ed5-8145-2af7a8b5e35d).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555532.

Council of Science Editors:

May M. Data analytics and methods for improved feature selection and matching. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/data-analytics-and-methods-for-improved-feature-selection-and-matching(965ded10-e3a0-4ed5-8145-2af7a8b5e35d).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555532


University of Manchester

7. May, Michael. Data Analytics and Methods for Improved Feature Selection and Matching.

Degree: 2012, University of Manchester

 This work, entitled Data Analytics and Methods for Improved Feature Selection and Matching, was submitted in June 2012 by Michael May to The University of… (more)

Subjects/Keywords: Features; SIFT; Scale Invariant Feature Transform; Parameters; Parameter Sweep; Genetic Algorithm; A Contrario; High Dynamic Range; Match Weighting; Feature Fusion; FAW; FEWER; 3D Reconstruction

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APA (6th Edition):

May, M. (2012). Data Analytics and Methods for Improved Feature Selection and Matching. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:163481

Chicago Manual of Style (16th Edition):

May, Michael. “Data Analytics and Methods for Improved Feature Selection and Matching.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 14, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:163481.

MLA Handbook (7th Edition):

May, Michael. “Data Analytics and Methods for Improved Feature Selection and Matching.” 2012. Web. 14 Oct 2019.

Vancouver:

May M. Data Analytics and Methods for Improved Feature Selection and Matching. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Oct 14]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:163481.

Council of Science Editors:

May M. Data Analytics and Methods for Improved Feature Selection and Matching. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:163481

8. Tran, Duc Toan. Reconstruction de sollicitations dynamiques par méthodes inverses : Identification of a dynamic sollicitation by an inverse approach.

Degree: Docteur es, Mécanique, 2014, Université Claude Bernard – Lyon I

Dans le domaine de l'ingénierie, connaitre le chargement appliqué sur une structure permet de résoudre des problèmes directs dont le résultat est le champ de… (more)

Subjects/Keywords: Identification de la force; Reconstruction; Force d'impact; Méthode inverse; Paramètre de régularisation; Force multiple; Déconvocation; Non-linéaire; Load identification; Reconstruction; Impact force; Inverse method; Regularization parameter; Multiple force; Deconvocation; Non-linear; 620.1

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APA (6th Edition):

Tran, D. T. (2014). Reconstruction de sollicitations dynamiques par méthodes inverses : Identification of a dynamic sollicitation by an inverse approach. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2014LYO10146

Chicago Manual of Style (16th Edition):

Tran, Duc Toan. “Reconstruction de sollicitations dynamiques par méthodes inverses : Identification of a dynamic sollicitation by an inverse approach.” 2014. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed October 14, 2019. http://www.theses.fr/2014LYO10146.

MLA Handbook (7th Edition):

Tran, Duc Toan. “Reconstruction de sollicitations dynamiques par méthodes inverses : Identification of a dynamic sollicitation by an inverse approach.” 2014. Web. 14 Oct 2019.

Vancouver:

Tran DT. Reconstruction de sollicitations dynamiques par méthodes inverses : Identification of a dynamic sollicitation by an inverse approach. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2014. [cited 2019 Oct 14]. Available from: http://www.theses.fr/2014LYO10146.

Council of Science Editors:

Tran DT. Reconstruction de sollicitations dynamiques par méthodes inverses : Identification of a dynamic sollicitation by an inverse approach. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2014. Available from: http://www.theses.fr/2014LYO10146

9. Mohy-ud-Din, Hassan. Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography.

Degree: 2015, Johns Hopkins University

 This thesis will focus on two important aspects of dynamic Positron Emission Tomography (PET): (i) Motion-compensation , and (ii) Pharmacokinetic analysis (also called parametric imaging)… (more)

Subjects/Keywords: Positron Emission Tomography; Motion Correction; Parametric Imaging; Kinetic Modeling; Molecular Imaging; Pharmacokinetic Analysis; Dual-biomarker Imaging; Cardiovascular Imaging; Myocardial Perfusion PET; Physiological Clustering; Robust Parameter Estimation; Statistical Image Reconstruction; Direct 4-D Image Reconstruction; Resolution Modeling

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APA (6th Edition):

Mohy-ud-Din, H. (2015). Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37900

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):

Mohy-ud-Din, Hassan. “Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography.” 2015. Thesis, Johns Hopkins University. Accessed October 14, 2019. http://jhir.library.jhu.edu/handle/1774.2/37900.

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

MLA Handbook (7th Edition):

Mohy-ud-Din, Hassan. “Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography.” 2015. Web. 14 Oct 2019.

Vancouver:

Mohy-ud-Din H. Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography. [Internet] [Thesis]. Johns Hopkins University; 2015. [cited 2019 Oct 14]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37900.

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

Council of Science Editors:

Mohy-ud-Din H. Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography. [Thesis]. Johns Hopkins University; 2015. Available from: http://jhir.library.jhu.edu/handle/1774.2/37900

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


University of Cambridge

10. Higson, Edward John. Bayesian methods and machine learning in astrophysics.

Degree: PhD, 2019, University of Cambridge

 This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters… (more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

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APA (6th Edition):

Higson, E. J. (2019). Bayesian methods and machine learning in astrophysics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Chicago Manual of Style (16th Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Doctoral Dissertation, University of Cambridge. Accessed October 14, 2019. https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

MLA Handbook (7th Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Web. 14 Oct 2019.

Vancouver:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Oct 14]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

Council of Science Editors:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

11. Austin, Christian David. Sparse Methods for Model Estimation with Applications to Radar Imaging.

Degree: PhD, Electrical and Computer Engineering, 2012, The Ohio State University

  In additive component model estimation problems, the number of additive components (model order) and values of the model parameters in each of the additive… (more)

Subjects/Keywords: Applied Mathematics; Electrical Engineering; Statistics; sparse reconstruction; parameter estimation; model order estimation; radar imaging; SAR

…Moses, “Parameter Estimation Using Sparse Reconstruction With Dynamic Dictionaries,” Proc… …Moses, “On the Relation Between Sparse Reconstruction and Parameter Estimation with Model… …SAR Images using Sparse Reconstruction Techniques,” Algorithms for Synthetic Aperture Radar… …Synthetic Aperture Radar Detection and Estimation Based 3D Image Reconstruction,” Algorithms for… …21, 2006. C. D. Austin and R. L. Moses, “IFSAR Processing for 3D Target Reconstruction… 

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APA (6th Edition):

Austin, C. D. (2012). Sparse Methods for Model Estimation with Applications to Radar Imaging. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1331103217

Chicago Manual of Style (16th Edition):

Austin, Christian David. “Sparse Methods for Model Estimation with Applications to Radar Imaging.” 2012. Doctoral Dissertation, The Ohio State University. Accessed October 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1331103217.

MLA Handbook (7th Edition):

Austin, Christian David. “Sparse Methods for Model Estimation with Applications to Radar Imaging.” 2012. Web. 14 Oct 2019.

Vancouver:

Austin CD. Sparse Methods for Model Estimation with Applications to Radar Imaging. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2019 Oct 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1331103217.

Council of Science Editors:

Austin CD. Sparse Methods for Model Estimation with Applications to Radar Imaging. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1331103217

12. Ge, Tao. Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use.

Degree: MS, Electrical & Systems Engineering, 2018, Washington University in St. Louis

  In order to transition the GPU-accelerated CT reconstruction algorithm to a more clinical environment, a graphical user interface is implemented. Some optimization methods on… (more)

Subjects/Keywords: CT reconstruction; Alternating minimization algorithm; GPU acceleration; parameter optimization; Hotelling observer; Biomedical; Engineering; Signal Processing

…ABSTRACT OF THE THESIS Optimization of GPU-Accelerated Iterative CT Reconstruction… …transition the GPU-accelerated CT reconstruction algorithm to a more clinical environment, a… …a useful component for a clinical researcher who is not familiar with the reconstruction… …of the GUI for our single energetic CT reconstruction code. This GUI will enable clinical… …1.1 is a graphical user interface for our single-energetic CT reconstruction which may be… 

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APA (6th Edition):

Ge, T. (2018). Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/351

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):

Ge, Tao. “Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use.” 2018. Thesis, Washington University in St. Louis. Accessed October 14, 2019. https://openscholarship.wustl.edu/eng_etds/351.

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

MLA Handbook (7th Edition):

Ge, Tao. “Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use.” 2018. Web. 14 Oct 2019.

Vancouver:

Ge T. Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use. [Internet] [Thesis]. Washington University in St. Louis; 2018. [cited 2019 Oct 14]. Available from: https://openscholarship.wustl.edu/eng_etds/351.

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

Council of Science Editors:

Ge T. Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use. [Thesis]. Washington University in St. Louis; 2018. Available from: https://openscholarship.wustl.edu/eng_etds/351

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

13. Zachariah, Elizabeth. Spatio-Temporal Modeling Of Anatomic Motion For Radiation Therapy.

Degree: PhD, Engineering, 2015, Virginia Commonwealth University

  In radiation therapy, it is imperative to deliver high doses of radiation to the tumor while reducing radiation to the healthy tissue. Respiratory motion… (more)

Subjects/Keywords: deformation modeling; image registration; splines; 4D-CT; CT reconstruction; anatomy modeling; parameter estimation; Biomedical

…of the Temporal Parameter Estimation Process ........... 32 Figure… …temporal parameter values for Elman and Feed-­‐Forward networks… …of four-­‐dimensional CT reconstruction. The aims of the… …4D cone beam CT reconstruction. The aims of this… …hypothesized that temporal parameter estimation using neural networks… 

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APA (6th Edition):

Zachariah, E. (2015). Spatio-Temporal Modeling Of Anatomic Motion For Radiation Therapy. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/3972

Chicago Manual of Style (16th Edition):

Zachariah, Elizabeth. “Spatio-Temporal Modeling Of Anatomic Motion For Radiation Therapy.” 2015. Doctoral Dissertation, Virginia Commonwealth University. Accessed October 14, 2019. https://scholarscompass.vcu.edu/etd/3972.

MLA Handbook (7th Edition):

Zachariah, Elizabeth. “Spatio-Temporal Modeling Of Anatomic Motion For Radiation Therapy.” 2015. Web. 14 Oct 2019.

Vancouver:

Zachariah E. Spatio-Temporal Modeling Of Anatomic Motion For Radiation Therapy. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2015. [cited 2019 Oct 14]. Available from: https://scholarscompass.vcu.edu/etd/3972.

Council of Science Editors:

Zachariah E. Spatio-Temporal Modeling Of Anatomic Motion For Radiation Therapy. [Doctoral Dissertation]. Virginia Commonwealth University; 2015. Available from: https://scholarscompass.vcu.edu/etd/3972


University of Notre Dame

14. Adam Michael Alessio. Statistical Modeling and Reconstruction of Rebinned PET Measurements</h1>.

Degree: PhD, Electrical Engineering, 2003, University of Notre Dame

  Positron emission tomography (PET) provides insight into the physiology of living subjects and is an invaluable tool for the detection and staging of cancer.… (more)

Subjects/Keywords: FORE Rebinning; Positron Emission Tomography; FORE; Correlated Estimation; Diagnostic Imaging; Image Reconstruction; Parameter Estimation; Tomography; PET

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APA (6th Edition):

Alessio, A. M. (2003). Statistical Modeling and Reconstruction of Rebinned PET Measurements</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/hm50tq59w6k

Chicago Manual of Style (16th Edition):

Alessio, Adam Michael. “Statistical Modeling and Reconstruction of Rebinned PET Measurements</h1>.” 2003. Doctoral Dissertation, University of Notre Dame. Accessed October 14, 2019. https://curate.nd.edu/show/hm50tq59w6k.

MLA Handbook (7th Edition):

Alessio, Adam Michael. “Statistical Modeling and Reconstruction of Rebinned PET Measurements</h1>.” 2003. Web. 14 Oct 2019.

Vancouver:

Alessio AM. Statistical Modeling and Reconstruction of Rebinned PET Measurements</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2003. [cited 2019 Oct 14]. Available from: https://curate.nd.edu/show/hm50tq59w6k.

Council of Science Editors:

Alessio AM. Statistical Modeling and Reconstruction of Rebinned PET Measurements</h1>. [Doctoral Dissertation]. University of Notre Dame; 2003. Available from: https://curate.nd.edu/show/hm50tq59w6k


University of Cambridge

15. Hee, Sonke. Computational Bayesian techniques applied to cosmology.

Degree: PhD, 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

Chicago Manual of Style (16th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Doctoral Dissertation, University of Cambridge. Accessed October 14, 2019. https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Web. 14 Oct 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Oct 14]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549


University of Cambridge

16. Hee, Sonke. Computational Bayesian techniques applied to cosmology .

Degree: 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346

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):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Thesis, University of Cambridge. Accessed October 14, 2019. https://www.repository.cam.ac.uk/handle/1810/273346.

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

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Web. 14 Oct 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology . [Internet] [Thesis]. University of Cambridge; 2018. [cited 2019 Oct 14]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346.

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

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology . [Thesis]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346

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


Luleå University of Technology

17. Berglund, Tomas. Estimating geometric primitives using 3D range data.

Degree: 1999, Luleå University of Technology

A method for estimating geometric primitives of objects using 3D range data from a scanning laser is presented. It has been developed in order… (more)

Subjects/Keywords: Physics Chemistry Maths; cylinder fitting; nonlinear least squares; parameter; estimation; range data; range measuring laser; reverse; engineering; surface fitting; surface reconstruction; Fysik; Kemi; Matematik

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APA (6th Edition):

Berglund, T. (1999). Estimating geometric primitives using 3D range data. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-42629

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):

Berglund, Tomas. “Estimating geometric primitives using 3D range data.” 1999. Thesis, Luleå University of Technology. Accessed October 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-42629.

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

MLA Handbook (7th Edition):

Berglund, Tomas. “Estimating geometric primitives using 3D range data.” 1999. Web. 14 Oct 2019.

Vancouver:

Berglund T. Estimating geometric primitives using 3D range data. [Internet] [Thesis]. Luleå University of Technology; 1999. [cited 2019 Oct 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-42629.

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

Council of Science Editors:

Berglund T. Estimating geometric primitives using 3D range data. [Thesis]. Luleå University of Technology; 1999. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-42629

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

18. Rao, Sughosh J. Development of a Hardware in the Loop Simulation System for Heavy Truck ESC Evaluation and Trailer Parameter and State Estimation.

Degree: PhD, Mechanical Engineering, 2013, The Ohio State University

 According to NHTSA's 2011 Traffic Safety Facts, large-truck occupant fatalities increased from 530 in 2010 to 635 in 2011, which is a 20% increase. This… (more)

Subjects/Keywords: Mechanical Engineering; Automotive Engineering; HIL; Hardware in the loop; heavy trucks; TruckSim; vehicle modeling; ESC; Parameter Estimation; Recursive Least Squares; Accident Reconstruction

…Recursive Least Square Estimation with Multiple Forgetting Straight Drive Parameter Estimation… …Scenario reconstruction using the HIL to highlight the increase in stability afforded by ESC… …tractor trailer modeling data and parameter and state estimation techniques. Chapter 3 details… …is followed by an actual scenario reconstruction case study implemented using two different… …technique needs to be chosen depending on the parameter or state being estimated and the available… 

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APA (6th Edition):

Rao, S. J. (2013). Development of a Hardware in the Loop Simulation System for Heavy Truck ESC Evaluation and Trailer Parameter and State Estimation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1374154113

Chicago Manual of Style (16th Edition):

Rao, Sughosh J. “Development of a Hardware in the Loop Simulation System for Heavy Truck ESC Evaluation and Trailer Parameter and State Estimation.” 2013. Doctoral Dissertation, The Ohio State University. Accessed October 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374154113.

MLA Handbook (7th Edition):

Rao, Sughosh J. “Development of a Hardware in the Loop Simulation System for Heavy Truck ESC Evaluation and Trailer Parameter and State Estimation.” 2013. Web. 14 Oct 2019.

Vancouver:

Rao SJ. Development of a Hardware in the Loop Simulation System for Heavy Truck ESC Evaluation and Trailer Parameter and State Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2019 Oct 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374154113.

Council of Science Editors:

Rao SJ. Development of a Hardware in the Loop Simulation System for Heavy Truck ESC Evaluation and Trailer Parameter and State Estimation. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374154113


University of Cambridge

19. Higson, Edward John. Bayesian Methods and Machine Learning in Astrophysics .

Degree: University of Cambridge

 This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters… (more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; error analysis; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Higson, E. J. (n.d.). Bayesian Methods and Machine Learning in Astrophysics . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Thesis, University of Cambridge. Accessed October 14, 2019. https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Web. 14 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Internet] [Thesis]. University of Cambridge; [cited 2019 Oct 14]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Thesis]. University of Cambridge; Available from: https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Queensland University of Technology

20. Hurdal, Monica Kimberly. Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx.

Degree: 1998, Queensland University of Technology

Subjects/Keywords: Brain Mathematical models; Brain Computer simulation; applied mathematics; brain; brain reconstruction; calcarine fissure; common average reference; computer science; confidence intervals; confidence regions; computer model; co-registration; cortical magnification; data visualisation; dipole; EEG; electroencephalography; electrophysiology; evoked potential; forward problem; fMRI; human; inverse problem; imaging; least squares; magnetic resonance imaging; magnetoencephalography; map; mathematical model; mathematics; MEG; model; MR; MRI; neural source; neuroanatomy; neurobiology; neurophysiology; neuroscience; nonlinear minisation; parameter estimates; physics; primary visual cortex; psychology; reconstruction; retina; retinoptic map; segmentation; source localisation; statistics; three-shell model; TMS; transcranial magnetic stimulation; transformation; V1; VEP; vision; visual cortex; visual evoked potential; visual field; visualisation; thesis; doctoral

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APA (6th Edition):

Hurdal, M. K. (1998). Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/36978/

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):

Hurdal, Monica Kimberly. “Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx.” 1998. Thesis, Queensland University of Technology. Accessed October 14, 2019. http://eprints.qut.edu.au/36978/.

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

MLA Handbook (7th Edition):

Hurdal, Monica Kimberly. “Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx.” 1998. Web. 14 Oct 2019.

Vancouver:

Hurdal MK. Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx. [Internet] [Thesis]. Queensland University of Technology; 1998. [cited 2019 Oct 14]. Available from: http://eprints.qut.edu.au/36978/.

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

Council of Science Editors:

Hurdal MK. Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx. [Thesis]. Queensland University of Technology; 1998. Available from: http://eprints.qut.edu.au/36978/

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

.