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You searched for +publisher:"Vanderbilt University" +contributor:("Hakmook Kang"). Showing records 1 – 5 of 5 total matches.

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Vanderbilt University

1. Wang, Rui. A Bayesian Model for Brain Network Functional Connectivity using PyMC3.

Degree: MS, Biostatistics, 2018, Vanderbilt University

 Our brain network, as a complex integrative system, consists of many different regions. Each region has its own task and function and simultaneously shares structural… (more)

Subjects/Keywords: pymc3; dti; fmri; bayesian model; structural connectivity; functional connectivity

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APA (6th Edition):

Wang, R. (2018). A Bayesian Model for Brain Network Functional Connectivity using PyMC3. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07092018-201318/ ;

Chicago Manual of Style (16th Edition):

Wang, Rui. “A Bayesian Model for Brain Network Functional Connectivity using PyMC3.” 2018. Masters Thesis, Vanderbilt University. Accessed January 20, 2020. http://etd.library.vanderbilt.edu/available/etd-07092018-201318/ ;.

MLA Handbook (7th Edition):

Wang, Rui. “A Bayesian Model for Brain Network Functional Connectivity using PyMC3.” 2018. Web. 20 Jan 2020.

Vancouver:

Wang R. A Bayesian Model for Brain Network Functional Connectivity using PyMC3. [Internet] [Masters thesis]. Vanderbilt University; 2018. [cited 2020 Jan 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-07092018-201318/ ;.

Council of Science Editors:

Wang R. A Bayesian Model for Brain Network Functional Connectivity using PyMC3. [Masters Thesis]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-07092018-201318/ ;


Vanderbilt University

2. Hainline, Allison Elisabeth. Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis.

Degree: PhD, Biostatistics, 2018, Vanderbilt University

 As neuroimaging studies become more numerous and data are increasingly available, the need for improved understanding of the statistical properties of such data increases as… (more)

Subjects/Keywords: medical imaging; bias and variance; SIMEX; bootstrap; fMRI; diffusion MRI; inference

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APA (6th Edition):

Hainline, A. E. (2018). Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09182018-183037/ ;

Chicago Manual of Style (16th Edition):

Hainline, Allison Elisabeth. “Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed January 20, 2020. http://etd.library.vanderbilt.edu/available/etd-09182018-183037/ ;.

MLA Handbook (7th Edition):

Hainline, Allison Elisabeth. “Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis.” 2018. Web. 20 Jan 2020.

Vancouver:

Hainline AE. Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Jan 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-09182018-183037/ ;.

Council of Science Editors:

Hainline AE. Advanced Statistical Techniques in DW-MRI and fMRI Data Analysis. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-09182018-183037/ ;


Vanderbilt University

3. Yang, Xue. Robust Statistical Inference in Human Brain Mapping.

Degree: PhD, Electrical Engineering, 2013, Vanderbilt University

 Statistical parametric mapping has been widely used in human brain mapping to explain brain image changes as a function of other factors. The core theory… (more)

Subjects/Keywords: spatial temporal model; resilience; random regressor; robust regression; multi-site analysis; statistical parametric mapping; biological parametric mapping

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APA (6th Edition):

Yang, X. (2013). Robust Statistical Inference in Human Brain Mapping. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-10232013-102842/ ;

Chicago Manual of Style (16th Edition):

Yang, Xue. “Robust Statistical Inference in Human Brain Mapping.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed January 20, 2020. http://etd.library.vanderbilt.edu/available/etd-10232013-102842/ ;.

MLA Handbook (7th Edition):

Yang, Xue. “Robust Statistical Inference in Human Brain Mapping.” 2013. Web. 20 Jan 2020.

Vancouver:

Yang X. Robust Statistical Inference in Human Brain Mapping. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2020 Jan 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-10232013-102842/ ;.

Council of Science Editors:

Yang X. Robust Statistical Inference in Human Brain Mapping. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-10232013-102842/ ;

4. Huo, Yuankai. Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

 Medical imaging refers to the technologies of creating visual representation of the interior of human body. Clinical practitioners can make diagnoses by visually investigating the… (more)

Subjects/Keywords: medical imaging; medical image analyses; surface; segmentation; consistent

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

APA (6th Edition):

Huo, Y. (2018). Structural Medical Image Analyses using Consistent Volume and Surface Image Processing. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;

Chicago Manual of Style (16th Edition):

Huo, Yuankai. “Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed January 20, 2020. http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;.

MLA Handbook (7th Edition):

Huo, Yuankai. “Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.” 2018. Web. 20 Jan 2020.

Vancouver:

Huo Y. Structural Medical Image Analyses using Consistent Volume and Surface Image Processing. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Jan 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;.

Council of Science Editors:

Huo Y. Structural Medical Image Analyses using Consistent Volume and Surface Image Processing. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;

5. Parvathaneni, Prasanna. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 Neuroimaging provides an opportunity to gain valuable insight onto the microstructural changes in the brain associated with healthy growth and neurological disorders when conducting longitudinal… (more)

Subjects/Keywords: Brain; Neuroimaging; MRI; Gray Matter; Diffusion MRI

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

APA (6th Edition):

Parvathaneni, P. (2019). Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;

Chicago Manual of Style (16th Edition):

Parvathaneni, Prasanna. “Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed January 20, 2020. http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;.

MLA Handbook (7th Edition):

Parvathaneni, Prasanna. “Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.” 2019. Web. 20 Jan 2020.

Vancouver:

Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Jan 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;.

Council of Science Editors:

Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;

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