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You searched for +publisher:"Virginia Tech" +contributor:("Wyatt, Christopher L."). Showing records 1 – 30 of 40 total matches.

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Virginia Tech

1. Hand, Davis Kyle. A Manufacturing Process for Single Micron Resolution Optical Gratings Used in X-ray Computed Tomography.

Degree: MS, Electrical and Computer Engineering, 2011, Virginia Tech

 X-ray Computed Tomography (CT) is a process that produces three-dimensional x-ray images, allowing for better diagnosis and analysis of complex internal medical conditions. New advances… (more)

Subjects/Keywords: Computed Tomography; Photolithography; Electroplating; DRIE

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APA (6th Edition):

Hand, D. K. (2011). A Manufacturing Process for Single Micron Resolution Optical Gratings Used in X-ray Computed Tomography. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33804

Chicago Manual of Style (16th Edition):

Hand, Davis Kyle. “A Manufacturing Process for Single Micron Resolution Optical Gratings Used in X-ray Computed Tomography.” 2011. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/33804.

MLA Handbook (7th Edition):

Hand, Davis Kyle. “A Manufacturing Process for Single Micron Resolution Optical Gratings Used in X-ray Computed Tomography.” 2011. Web. 26 Oct 2020.

Vancouver:

Hand DK. A Manufacturing Process for Single Micron Resolution Optical Gratings Used in X-ray Computed Tomography. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/33804.

Council of Science Editors:

Hand DK. A Manufacturing Process for Single Micron Resolution Optical Gratings Used in X-ray Computed Tomography. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/33804


Virginia Tech

2. Mundle, Aditya Ramesh. Blood-Oxygen-Level-Dependent Parameter Identification using Multimodal Neuroimaging and Particle Filters.

Degree: MS, Electrical and Computer Engineering, 2012, Virginia Tech

 The Blood Oxygen Level Dependent (BOLD) signal provides indirect estimates of neural activity. The parameters of this BOLD signal can give information about the pathophysiological… (more)

Subjects/Keywords: BOLD Response; Nonlinear Systems; Overparameterization; System Identification; Particle Filter; Multimodal Neuroimaging

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APA (6th Edition):

Mundle, A. R. (2012). Blood-Oxygen-Level-Dependent Parameter Identification using Multimodal Neuroimaging and Particle Filters. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31092

Chicago Manual of Style (16th Edition):

Mundle, Aditya Ramesh. “Blood-Oxygen-Level-Dependent Parameter Identification using Multimodal Neuroimaging and Particle Filters.” 2012. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/31092.

MLA Handbook (7th Edition):

Mundle, Aditya Ramesh. “Blood-Oxygen-Level-Dependent Parameter Identification using Multimodal Neuroimaging and Particle Filters.” 2012. Web. 26 Oct 2020.

Vancouver:

Mundle AR. Blood-Oxygen-Level-Dependent Parameter Identification using Multimodal Neuroimaging and Particle Filters. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/31092.

Council of Science Editors:

Mundle AR. Blood-Oxygen-Level-Dependent Parameter Identification using Multimodal Neuroimaging and Particle Filters. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/31092

3. Carter, Matthew Edward. Setting location priors using beamforming improves model comparison in MEG-DCM.

Degree: MS, Electrical Engineering, 2014, Virginia Tech

 Modelling neuronal interactions using a directed network can be used to provide insight into the activity of the brain during experimental tasks. Magnetoencephalography (MEG) allows… (more)

Subjects/Keywords: Dynamic Causal Modelling; MEG; Bayesian Statistics; Prior Distributions; System Identification

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APA (6th Edition):

Carter, M. E. (2014). Setting location priors using beamforming improves model comparison in MEG-DCM. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50418

Chicago Manual of Style (16th Edition):

Carter, Matthew Edward. “Setting location priors using beamforming improves model comparison in MEG-DCM.” 2014. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/50418.

MLA Handbook (7th Edition):

Carter, Matthew Edward. “Setting location priors using beamforming improves model comparison in MEG-DCM.” 2014. Web. 26 Oct 2020.

Vancouver:

Carter ME. Setting location priors using beamforming improves model comparison in MEG-DCM. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/50418.

Council of Science Editors:

Carter ME. Setting location priors using beamforming improves model comparison in MEG-DCM. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50418


Virginia Tech

4. Chen, Li. Statistical Machine Learning for Multi-platform Biomedical Data Analysis.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

 Recent advances in biotechnologies have enabled multiplatform and large-scale quantitative measurements of biomedical events. The need to analyze the produced vast amount of imaging and… (more)

Subjects/Keywords: GWAS; BSS; bioinformatics; medical imaging; signal processing; machine learning; MRI; SNP

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APA (6th Edition):

Chen, L. (2011). Statistical Machine Learning for Multi-platform Biomedical Data Analysis. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77188

Chicago Manual of Style (16th Edition):

Chen, Li. “Statistical Machine Learning for Multi-platform Biomedical Data Analysis.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/77188.

MLA Handbook (7th Edition):

Chen, Li. “Statistical Machine Learning for Multi-platform Biomedical Data Analysis.” 2011. Web. 26 Oct 2020.

Vancouver:

Chen L. Statistical Machine Learning for Multi-platform Biomedical Data Analysis. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/77188.

Council of Science Editors:

Chen L. Statistical Machine Learning for Multi-platform Biomedical Data Analysis. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/77188


Virginia Tech

5. Zaghlool, Shaza B. Dynamic Causal Modeling Across Network Topologies.

Degree: PhD, Computer Engineering, 2014, Virginia Tech

 Dynamic Causal Modeling (DCM) uses dynamical systems to represent the high-level neural processing strategy for a given cognitive task. The logical network topology of the… (more)

Subjects/Keywords: Dynamic Causal Modeling; Expectation-Maximization; Missing Data

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APA (6th Edition):

Zaghlool, S. B. (2014). Dynamic Causal Modeling Across Network Topologies. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/46874

Chicago Manual of Style (16th Edition):

Zaghlool, Shaza B. “Dynamic Causal Modeling Across Network Topologies.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/46874.

MLA Handbook (7th Edition):

Zaghlool, Shaza B. “Dynamic Causal Modeling Across Network Topologies.” 2014. Web. 26 Oct 2020.

Vancouver:

Zaghlool SB. Dynamic Causal Modeling Across Network Topologies. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/46874.

Council of Science Editors:

Zaghlool SB. Dynamic Causal Modeling Across Network Topologies. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/46874


Virginia Tech

6. Wang, Chen. From network to pathway: integrative network analysis of genomic data.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

 The advent of various types of high-throughput genomic data has enabled researchers to investigate complex biological systems in a systemic way and started to shed… (more)

Subjects/Keywords: Protein-DNA Interaction; Protein-Protein Interaction; Stability Analysis; Linear Extraction; Metropolis sampling; Microarray

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APA (6th Edition):

Wang, C. (2011). From network to pathway: integrative network analysis of genomic data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77121

Chicago Manual of Style (16th Edition):

Wang, Chen. “From network to pathway: integrative network analysis of genomic data.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/77121.

MLA Handbook (7th Edition):

Wang, Chen. “From network to pathway: integrative network analysis of genomic data.” 2011. Web. 26 Oct 2020.

Vancouver:

Wang C. From network to pathway: integrative network analysis of genomic data. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/77121.

Council of Science Editors:

Wang C. From network to pathway: integrative network analysis of genomic data. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/77121


Virginia Tech

7. Shen, Yuan. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

 Computed tomographic colonography(CTC), also called virtual colonoscopy, uses CT scanning and computer post-processing to create two dimensional images and three dimensional virtual views inside of… (more)

Subjects/Keywords: Feature Extraction; Image Guided Colonoscopy; SLAM; Video Feature Tracking

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APA (6th Edition):

Shen, Y. (2010). Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32275

Chicago Manual of Style (16th Edition):

Shen, Yuan. “Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy.” 2010. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/32275.

MLA Handbook (7th Edition):

Shen, Yuan. “Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy.” 2010. Web. 26 Oct 2020.

Vancouver:

Shen Y. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/32275.

Council of Science Editors:

Shen Y. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/32275


Virginia Tech

8. Prabhakar, Sandesh. Algorithms and Low Cost Architectures for Trace Buffer-Based Silicon Debug.

Degree: MS, Electrical and Computer Engineering, 2009, Virginia Tech

 An effective silicon debug technique uses a trace buffer to monitor and capture a portion of the circuit response during its functional, post-silicon operation. Due… (more)

Subjects/Keywords: Silicon Debug; Logic Implications; Trace selection; State Restoration; Trace Compression

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APA (6th Edition):

Prabhakar, S. (2009). Algorithms and Low Cost Architectures for Trace Buffer-Based Silicon Debug. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35931

Chicago Manual of Style (16th Edition):

Prabhakar, Sandesh. “Algorithms and Low Cost Architectures for Trace Buffer-Based Silicon Debug.” 2009. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/35931.

MLA Handbook (7th Edition):

Prabhakar, Sandesh. “Algorithms and Low Cost Architectures for Trace Buffer-Based Silicon Debug.” 2009. Web. 26 Oct 2020.

Vancouver:

Prabhakar S. Algorithms and Low Cost Architectures for Trace Buffer-Based Silicon Debug. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/35931.

Council of Science Editors:

Prabhakar S. Algorithms and Low Cost Architectures for Trace Buffer-Based Silicon Debug. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/35931


Virginia Tech

9. Fitzpatrick, Atiba Omari. Automated Quality Assurance for Magnetic Resonance Imaging with Extensions to Diffusion Tensor Imaging.

Degree: MS, Electrical and Computer Engineering, 2005, Virginia Tech

 Since its inception, Magnetic Resonance Imaging (MRI) has largely been used for qualitative diagnosis. Radiologists and physicians are increasingly becoming interested in quantitative assessments. The… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Phantom; American College of Radiology Accreditation Progra; Automated Quality Assurance; Diffusion Tensor Imaging

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APA (6th Edition):

Fitzpatrick, A. O. (2005). Automated Quality Assurance for Magnetic Resonance Imaging with Extensions to Diffusion Tensor Imaging. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33832

Chicago Manual of Style (16th Edition):

Fitzpatrick, Atiba Omari. “Automated Quality Assurance for Magnetic Resonance Imaging with Extensions to Diffusion Tensor Imaging.” 2005. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/33832.

MLA Handbook (7th Edition):

Fitzpatrick, Atiba Omari. “Automated Quality Assurance for Magnetic Resonance Imaging with Extensions to Diffusion Tensor Imaging.” 2005. Web. 26 Oct 2020.

Vancouver:

Fitzpatrick AO. Automated Quality Assurance for Magnetic Resonance Imaging with Extensions to Diffusion Tensor Imaging. [Internet] [Masters thesis]. Virginia Tech; 2005. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/33832.

Council of Science Editors:

Fitzpatrick AO. Automated Quality Assurance for Magnetic Resonance Imaging with Extensions to Diffusion Tensor Imaging. [Masters Thesis]. Virginia Tech; 2005. Available from: http://hdl.handle.net/10919/33832


Virginia Tech

10. Liu, Warren Hsiao-T. Segmentation of Subcortical Structures from Nonhuman Primate MRI.

Degree: MS, Biomedical Engineering, 2006, Virginia Tech

 Segmented analysis of subcortical structures within the nonhuman primate can potentially have a profound impact on studying the relationship between volumetric characteristics and alcohol dependencies.… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Segmentation; NHP; Hippocampus; Deformable Model; Level Set

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APA (6th Edition):

Liu, W. H. (2006). Segmentation of Subcortical Structures from Nonhuman Primate MRI. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34737

Chicago Manual of Style (16th Edition):

Liu, Warren Hsiao-T. “Segmentation of Subcortical Structures from Nonhuman Primate MRI.” 2006. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/34737.

MLA Handbook (7th Edition):

Liu, Warren Hsiao-T. “Segmentation of Subcortical Structures from Nonhuman Primate MRI.” 2006. Web. 26 Oct 2020.

Vancouver:

Liu WH. Segmentation of Subcortical Structures from Nonhuman Primate MRI. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/34737.

Council of Science Editors:

Liu WH. Segmentation of Subcortical Structures from Nonhuman Primate MRI. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/34737


Virginia Tech

11. Saleh, Mohamed Ibrahim. Using Ears for Human Identification.

Degree: MS, Electrical and Computer Engineering, 2007, Virginia Tech

 Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. The problem of finding good biometric features and… (more)

Subjects/Keywords: Ear Recognition; Ear; Multimodal Biometrics; Biometric; Segmentation; Eigen-Face; Eigen-Ears; Pattern Recognition; Principal Components Analysis (PCA); Face Recognition

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APA (6th Edition):

Saleh, M. I. (2007). Using Ears for Human Identification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33158

Chicago Manual of Style (16th Edition):

Saleh, Mohamed Ibrahim. “Using Ears for Human Identification.” 2007. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/33158.

MLA Handbook (7th Edition):

Saleh, Mohamed Ibrahim. “Using Ears for Human Identification.” 2007. Web. 26 Oct 2020.

Vancouver:

Saleh MI. Using Ears for Human Identification. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/33158.

Council of Science Editors:

Saleh MI. Using Ears for Human Identification. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/33158


Virginia Tech

12. Taylor, Alexander James. Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms.

Degree: MS, Electrical and Computer Engineering, 2004, Virginia Tech

 <p ALIGN="left">Diffusion Tensor Magnetic Resonance Imaging (DT-MRI), also known as Diffusion Tensor Imaging (DTI), is a unique medical imaging modality that provides non-invasive estimates of… (more)

Subjects/Keywords: Diffusion Tensor Imaging; Tractography; Fast Marching Method; Streamline; Phantom; Magnetic Resonance Imaging

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APA (6th Edition):

Taylor, A. J. (2004). Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32946

Chicago Manual of Style (16th Edition):

Taylor, Alexander James. “Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms.” 2004. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/32946.

MLA Handbook (7th Edition):

Taylor, Alexander James. “Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms.” 2004. Web. 26 Oct 2020.

Vancouver:

Taylor AJ. Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms. [Internet] [Masters thesis]. Virginia Tech; 2004. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/32946.

Council of Science Editors:

Taylor AJ. Diffusion Tensor Imaging: Evaluation of Tractography Algorithm Performance Using Ground Truth Phantoms. [Masters Thesis]. Virginia Tech; 2004. Available from: http://hdl.handle.net/10919/32946


Virginia Tech

13. Luan, Jessica. Development of a Small Sonar Altimeter and Constant Altitude Controller for a Miniature Autonomous Underwater Vehicle.

Degree: MS, Electrical and Computer Engineering, 2005, Virginia Tech

 Miniature Autonomous Underwater Vehicles are a major area of research and development today. Because of their size and agility, they are capable of exploring and… (more)

Subjects/Keywords: altimeter; sonar; altitude controller; obstacle avoidance; auv; autonomous underwater vehicle

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APA (6th Edition):

Luan, J. (2005). Development of a Small Sonar Altimeter and Constant Altitude Controller for a Miniature Autonomous Underwater Vehicle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31265

Chicago Manual of Style (16th Edition):

Luan, Jessica. “Development of a Small Sonar Altimeter and Constant Altitude Controller for a Miniature Autonomous Underwater Vehicle.” 2005. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/31265.

MLA Handbook (7th Edition):

Luan, Jessica. “Development of a Small Sonar Altimeter and Constant Altitude Controller for a Miniature Autonomous Underwater Vehicle.” 2005. Web. 26 Oct 2020.

Vancouver:

Luan J. Development of a Small Sonar Altimeter and Constant Altitude Controller for a Miniature Autonomous Underwater Vehicle. [Internet] [Masters thesis]. Virginia Tech; 2005. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/31265.

Council of Science Editors:

Luan J. Development of a Small Sonar Altimeter and Constant Altitude Controller for a Miniature Autonomous Underwater Vehicle. [Masters Thesis]. Virginia Tech; 2005. Available from: http://hdl.handle.net/10919/31265


Virginia Tech

14. Reed, Caleb M. Experiments in Real-time Path Planning for Riverine Environments.

Degree: MS, Electrical and Computer Engineering, 2008, Virginia Tech

 This work focuses on the development and implementation of an autonomous path planning and obstacle avoidance algorithm for an autonomous surface vehicle (ASV) in a… (more)

Subjects/Keywords: autonomous surface vessel; path planning; obstacle avoidance; A*; occupancy map

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APA (6th Edition):

Reed, C. M. (2008). Experiments in Real-time Path Planning for Riverine Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31877

Chicago Manual of Style (16th Edition):

Reed, Caleb M. “Experiments in Real-time Path Planning for Riverine Environments.” 2008. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/31877.

MLA Handbook (7th Edition):

Reed, Caleb M. “Experiments in Real-time Path Planning for Riverine Environments.” 2008. Web. 26 Oct 2020.

Vancouver:

Reed CM. Experiments in Real-time Path Planning for Riverine Environments. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/31877.

Council of Science Editors:

Reed CM. Experiments in Real-time Path Planning for Riverine Environments. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/31877


Virginia Tech

15. Tracy, Nicholas Alan. Synthesis and Characterization of Magnetic II-VI Nanoparticles.

Degree: MS, Electrical and Computer Engineering, 2006, Virginia Tech

 Magnetic semiconductor nanocrystals are being studied for their potential application in the field of spintronics as spin-injectors for spin-based transistors and spin-based storage elements for… (more)

Subjects/Keywords: biomedical; MRI; nanoparticles; nanocrystals; magnetic

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APA (6th Edition):

Tracy, N. A. (2006). Synthesis and Characterization of Magnetic II-VI Nanoparticles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32507

Chicago Manual of Style (16th Edition):

Tracy, Nicholas Alan. “Synthesis and Characterization of Magnetic II-VI Nanoparticles.” 2006. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/32507.

MLA Handbook (7th Edition):

Tracy, Nicholas Alan. “Synthesis and Characterization of Magnetic II-VI Nanoparticles.” 2006. Web. 26 Oct 2020.

Vancouver:

Tracy NA. Synthesis and Characterization of Magnetic II-VI Nanoparticles. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/32507.

Council of Science Editors:

Tracy NA. Synthesis and Characterization of Magnetic II-VI Nanoparticles. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/32507


Virginia Tech

16. Barry, Jeremy Jude. Map Creation and Position Correction for an Off the Shelf Mobile Robotic System.

Degree: MS, Electrical and Computer Engineering, 2004, Virginia Tech

  Robots are widely used in domestic and commercial applications. These applications typically involve robots built for a specific the task, thus leading to efficiency… (more)

Subjects/Keywords: robotics; mapping; mathematical morphology; localization

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APA (6th Edition):

Barry, J. J. (2004). Map Creation and Position Correction for an Off the Shelf Mobile Robotic System. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33063

Chicago Manual of Style (16th Edition):

Barry, Jeremy Jude. “Map Creation and Position Correction for an Off the Shelf Mobile Robotic System.” 2004. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/33063.

MLA Handbook (7th Edition):

Barry, Jeremy Jude. “Map Creation and Position Correction for an Off the Shelf Mobile Robotic System.” 2004. Web. 26 Oct 2020.

Vancouver:

Barry JJ. Map Creation and Position Correction for an Off the Shelf Mobile Robotic System. [Internet] [Masters thesis]. Virginia Tech; 2004. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/33063.

Council of Science Editors:

Barry JJ. Map Creation and Position Correction for an Off the Shelf Mobile Robotic System. [Masters Thesis]. Virginia Tech; 2004. Available from: http://hdl.handle.net/10919/33063


Virginia Tech

17. Zaghlool, Shaza Basyouni. Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images.

Degree: MS, Electrical and Computer Engineering, 2008, Virginia Tech

 Understanding the relationship between gene expression and phenotype is important in many areas of biology and medicine. Current methods for measuring gene expression such as… (more)

Subjects/Keywords: phenotype; machine learning; biomorph; genotype

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APA (6th Edition):

Zaghlool, S. B. (2008). Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32110

Chicago Manual of Style (16th Edition):

Zaghlool, Shaza Basyouni. “Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images.” 2008. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/32110.

MLA Handbook (7th Edition):

Zaghlool, Shaza Basyouni. “Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images.” 2008. Web. 26 Oct 2020.

Vancouver:

Zaghlool SB. Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/32110.

Council of Science Editors:

Zaghlool SB. Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/32110


Virginia Tech

18. Riggins, Jamie N. Location Estimation of Obstacles for an Autonomous Surface Vehicle.

Degree: MS, Electrical and Computer Engineering, 2006, Virginia Tech

 As the mission field for autonomous vehicles expands into a larger variety of territories, the development of autonomous surface vehicles (ASVs) becomes increasingly important. ASVs… (more)

Subjects/Keywords: feature localization; omni-directional camera; Extended Kalman Filter; autonomous surface vehicle

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APA (6th Edition):

Riggins, J. N. (2006). Location Estimation of Obstacles for an Autonomous Surface Vehicle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33227

Chicago Manual of Style (16th Edition):

Riggins, Jamie N. “Location Estimation of Obstacles for an Autonomous Surface Vehicle.” 2006. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/33227.

MLA Handbook (7th Edition):

Riggins, Jamie N. “Location Estimation of Obstacles for an Autonomous Surface Vehicle.” 2006. Web. 26 Oct 2020.

Vancouver:

Riggins JN. Location Estimation of Obstacles for an Autonomous Surface Vehicle. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/33227.

Council of Science Editors:

Riggins JN. Location Estimation of Obstacles for an Autonomous Surface Vehicle. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/33227


Virginia Tech

19. Shelton, Rebecca Kay. Parameter Identifiability and Estimation in Gene and Protein Interaction Networks.

Degree: MS, Electrical and Computer Engineering, 2008, Virginia Tech

 The collection of biological data has been limited by instrumentation, the complexity of the systems themselves, and even the ability of graduate students to stay… (more)

Subjects/Keywords: Biological Modeling; Parameter Estimation; Identifiability

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APA (6th Edition):

Shelton, R. K. (2008). Parameter Identifiability and Estimation in Gene and Protein Interaction Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32702

Chicago Manual of Style (16th Edition):

Shelton, Rebecca Kay. “Parameter Identifiability and Estimation in Gene and Protein Interaction Networks.” 2008. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/32702.

MLA Handbook (7th Edition):

Shelton, Rebecca Kay. “Parameter Identifiability and Estimation in Gene and Protein Interaction Networks.” 2008. Web. 26 Oct 2020.

Vancouver:

Shelton RK. Parameter Identifiability and Estimation in Gene and Protein Interaction Networks. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/32702.

Council of Science Editors:

Shelton RK. Parameter Identifiability and Estimation in Gene and Protein Interaction Networks. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/32702


Virginia Tech

20. Parks, Matthew Raymond. Vision-Based Self-Motion Estimation in a Fixed-Wing Aerial Vehicle.

Degree: MS, Electrical and Computer Engineering, 2006, Virginia Tech

  This paper describes a complete algorithm to estimate the motion of a fixed-wing aircraft given a series of digitized flight images. The algorithm was… (more)

Subjects/Keywords: Optic Flow; Computer Vision; Motion Estimation; Matching; Feature Tracking

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APA (6th Edition):

Parks, M. R. (2006). Vision-Based Self-Motion Estimation in a Fixed-Wing Aerial Vehicle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33855

Chicago Manual of Style (16th Edition):

Parks, Matthew Raymond. “Vision-Based Self-Motion Estimation in a Fixed-Wing Aerial Vehicle.” 2006. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/33855.

MLA Handbook (7th Edition):

Parks, Matthew Raymond. “Vision-Based Self-Motion Estimation in a Fixed-Wing Aerial Vehicle.” 2006. Web. 26 Oct 2020.

Vancouver:

Parks MR. Vision-Based Self-Motion Estimation in a Fixed-Wing Aerial Vehicle. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/33855.

Council of Science Editors:

Parks MR. Vision-Based Self-Motion Estimation in a Fixed-Wing Aerial Vehicle. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/33855


Virginia Tech

21. Baghdasaryan, Areg Gagik. Automatic Phoneme Recognition with Segmental Hidden Markov Models.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

 A speaker independent continuous speech phoneme recognition and segmentation system is presented. We discuss the training and recognition phases of the phoneme recognition system as… (more)

Subjects/Keywords: Viterbi; Baum Welch; Hidden Markov Model; Segmental HMM; Cluster; Speech; Speaker

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APA (6th Edition):

Baghdasaryan, A. G. (2010). Automatic Phoneme Recognition with Segmental Hidden Markov Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31182

Chicago Manual of Style (16th Edition):

Baghdasaryan, Areg Gagik. “Automatic Phoneme Recognition with Segmental Hidden Markov Models.” 2010. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/31182.

MLA Handbook (7th Edition):

Baghdasaryan, Areg Gagik. “Automatic Phoneme Recognition with Segmental Hidden Markov Models.” 2010. Web. 26 Oct 2020.

Vancouver:

Baghdasaryan AG. Automatic Phoneme Recognition with Segmental Hidden Markov Models. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/31182.

Council of Science Editors:

Baghdasaryan AG. Automatic Phoneme Recognition with Segmental Hidden Markov Models. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/31182


Virginia Tech

22. Chambers, Micah Christopher. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

 Traditional methods of analyzing functional Magnetic Resonance Images use a linear combination of just a few static regressors. This work demonstrates an alternative approach using… (more)

Subjects/Keywords: BOLD Response; FMRI; Nonlinear Systems; Particle Filter; Bayesian Statistics; System Identification

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APA (6th Edition):

Chambers, M. C. (2010). Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35143

Chicago Manual of Style (16th Edition):

Chambers, Micah Christopher. “Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters.” 2010. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/35143.

MLA Handbook (7th Edition):

Chambers, Micah Christopher. “Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters.” 2010. Web. 26 Oct 2020.

Vancouver:

Chambers MC. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/35143.

Council of Science Editors:

Chambers MC. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/35143


Virginia Tech

23. Diaz Acosta, Beatriz. Experiments in Image Segmentation for Automatic US License Plate Recognition.

Degree: MS, Computer Science, 2004, Virginia Tech

 License plate recognition/identification (LPR/I) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates. In the United States, however,… (more)

Subjects/Keywords: Data Cluster Analysis; Hough Transform; Spectral Analysis; Color Image Segmentation; License Plate Recognition; Minimum-Variance Quantization

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APA (6th Edition):

Diaz Acosta, B. (2004). Experiments in Image Segmentation for Automatic US License Plate Recognition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/9988

Chicago Manual of Style (16th Edition):

Diaz Acosta, Beatriz. “Experiments in Image Segmentation for Automatic US License Plate Recognition.” 2004. Masters Thesis, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/9988.

MLA Handbook (7th Edition):

Diaz Acosta, Beatriz. “Experiments in Image Segmentation for Automatic US License Plate Recognition.” 2004. Web. 26 Oct 2020.

Vancouver:

Diaz Acosta B. Experiments in Image Segmentation for Automatic US License Plate Recognition. [Internet] [Masters thesis]. Virginia Tech; 2004. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/9988.

Council of Science Editors:

Diaz Acosta B. Experiments in Image Segmentation for Automatic US License Plate Recognition. [Masters Thesis]. Virginia Tech; 2004. Available from: http://hdl.handle.net/10919/9988


Virginia Tech

24. Gong, Xiaojin. Omnidirectional Vision for an Autonomous Surface Vehicle.

Degree: PhD, Electrical and Computer Engineering, 2008, Virginia Tech

 Due to the wide field of view, omnidirectional cameras have been extensively used in many applications, including surveillance and autonomous navigation. In order to implement… (more)

Subjects/Keywords: calibration; Omnidirectional vision; range estimation; outlier rejection; motion detection; autonomous navigation

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APA (6th Edition):

Gong, X. (2008). Omnidirectional Vision for an Autonomous Surface Vehicle. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30175

Chicago Manual of Style (16th Edition):

Gong, Xiaojin. “Omnidirectional Vision for an Autonomous Surface Vehicle.” 2008. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/30175.

MLA Handbook (7th Edition):

Gong, Xiaojin. “Omnidirectional Vision for an Autonomous Surface Vehicle.” 2008. Web. 26 Oct 2020.

Vancouver:

Gong X. Omnidirectional Vision for an Autonomous Surface Vehicle. [Internet] [Doctoral dissertation]. Virginia Tech; 2008. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/30175.

Council of Science Editors:

Gong X. Omnidirectional Vision for an Autonomous Surface Vehicle. [Doctoral Dissertation]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/30175


Virginia Tech

25. Li, Xiaoxing. Registration of Images with Varying Topology using Embedded Maps.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 In medical images, intensity changes caused by certain pathology can change the topology of image level-sets and are thus commonly referred to as topological changes.… (more)

Subjects/Keywords: registration; deformable; Riemannian embedding; topological change

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APA (6th Edition):

Li, X. (2010). Registration of Images with Varying Topology using Embedded Maps. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29683

Chicago Manual of Style (16th Edition):

Li, Xiaoxing. “Registration of Images with Varying Topology using Embedded Maps.” 2010. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/29683.

MLA Handbook (7th Edition):

Li, Xiaoxing. “Registration of Images with Varying Topology using Embedded Maps.” 2010. Web. 26 Oct 2020.

Vancouver:

Li X. Registration of Images with Varying Topology using Embedded Maps. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/29683.

Council of Science Editors:

Li X. Registration of Images with Varying Topology using Embedded Maps. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/29683


Virginia Tech

26. Gong, Ting. Computational Dissection of Composite Molecular Signatures and Transcriptional Modules.

Degree: PhD, Electrical and Computer Engineering, 2009, Virginia Tech

 This dissertation aims to develop a latent variable modeling framework with which to analyze gene expression profiling data for computational dissection of molecular signatures and… (more)

Subjects/Keywords: Tissue Heterogeneity Correction; Blind Source Separation; Latent Variable Modeling; Microarray; Gene Regulation; Transcriptional Module

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APA (6th Edition):

Gong, T. (2009). Computational Dissection of Composite Molecular Signatures and Transcriptional Modules. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77302

Chicago Manual of Style (16th Edition):

Gong, Ting. “Computational Dissection of Composite Molecular Signatures and Transcriptional Modules.” 2009. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/77302.

MLA Handbook (7th Edition):

Gong, Ting. “Computational Dissection of Composite Molecular Signatures and Transcriptional Modules.” 2009. Web. 26 Oct 2020.

Vancouver:

Gong T. Computational Dissection of Composite Molecular Signatures and Transcriptional Modules. [Internet] [Doctoral dissertation]. Virginia Tech; 2009. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/77302.

Council of Science Editors:

Gong T. Computational Dissection of Composite Molecular Signatures and Transcriptional Modules. [Doctoral Dissertation]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/77302


Virginia Tech

27. Zhang, Yuji. Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 Systems biology comprises the global, integrated analysis of large-scale data encoding different levels of biological information with the aim to obtain global insight into the… (more)

Subjects/Keywords: Network Modeling; Data Integration; Gene Module Identification; Gene Regulatory Module; Biomarker Discovery

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APA (6th Edition):

Zhang, Y. (2010). Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28482

Chicago Manual of Style (16th Edition):

Zhang, Yuji. “Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery.” 2010. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/28482.

MLA Handbook (7th Edition):

Zhang, Yuji. “Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery.” 2010. Web. 26 Oct 2020.

Vancouver:

Zhang Y. Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/28482.

Council of Science Editors:

Zhang Y. Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/28482


Virginia Tech

28. Jia, Tao. Collaborative Position Location for Wireless Networks in Harsh Environments.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 Position location has become one of the more important tasks for improving communication and networking performance for future commercial wireless systems. It is also the… (more)

Subjects/Keywords: collaborative position location; non-line-of-sight (NLOS) propagation

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APA (6th Edition):

Jia, T. (2010). Collaborative Position Location for Wireless Networks in Harsh Environments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26548

Chicago Manual of Style (16th Edition):

Jia, Tao. “Collaborative Position Location for Wireless Networks in Harsh Environments.” 2010. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/26548.

MLA Handbook (7th Edition):

Jia, Tao. “Collaborative Position Location for Wireless Networks in Harsh Environments.” 2010. Web. 26 Oct 2020.

Vancouver:

Jia T. Collaborative Position Location for Wireless Networks in Harsh Environments. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/26548.

Council of Science Editors:

Jia T. Collaborative Position Location for Wireless Networks in Harsh Environments. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/26548


Virginia Tech

29. Feng, Yuanjian. Detection and Characterization of Multilevel Genomic Patterns.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 DNA microarray has become a powerful tool in genetics, molecular biology, and biomedical research. DNA microarray can be used for measuring the genotypes, structural changes,… (more)

Subjects/Keywords: Gene Expressions; DNA Copy Number Changes; Stability Analysis; Regression Analysis; Tree of Phenotypes

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APA (6th Edition):

Feng, Y. (2010). Detection and Characterization of Multilevel Genomic Patterns. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/38577

Chicago Manual of Style (16th Edition):

Feng, Yuanjian. “Detection and Characterization of Multilevel Genomic Patterns.” 2010. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/38577.

MLA Handbook (7th Edition):

Feng, Yuanjian. “Detection and Characterization of Multilevel Genomic Patterns.” 2010. Web. 26 Oct 2020.

Vancouver:

Feng Y. Detection and Characterization of Multilevel Genomic Patterns. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/38577.

Council of Science Editors:

Feng Y. Detection and Characterization of Multilevel Genomic Patterns. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/38577


Virginia Tech

30. Long, Xiaojing. Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 Alzheimer's disease~(AD) is the most frequent neurodegenerative dementia and a growing health problem. Early and accurate diagnosis and prediction of AD is crucial because treatment… (more)

Subjects/Keywords: pathology localization; disease diagnosis; MRI; mild cognitive impairment; Alzheimer's disease

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APA (6th Edition):

Long, X. (2010). Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/40396

Chicago Manual of Style (16th Edition):

Long, Xiaojing. “Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging.” 2010. Doctoral Dissertation, Virginia Tech. Accessed October 26, 2020. http://hdl.handle.net/10919/40396.

MLA Handbook (7th Edition):

Long, Xiaojing. “Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging.” 2010. Web. 26 Oct 2020.

Vancouver:

Long X. Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Oct 26]. Available from: http://hdl.handle.net/10919/40396.

Council of Science Editors:

Long X. Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/40396

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