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You searched for +publisher:"University of North Carolina" +contributor:("Styner, Martin"). Showing records 1 – 10 of 10 total matches.

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University of North Carolina

1. McMurray, Matthew Stephen. A Rodent Model of Cocaine’s Effect on the Mother Infant Dyad.

Degree: Psychology and Neuroscience, 2011, University of North Carolina

 Cocaine abuse by women is correlated with a high incidence of child neglect and abuse, and young children prenatally exposed to cocaine show early signs… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Psychology and Neuroscience

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APA (6th Edition):

McMurray, M. S. (2011). A Rodent Model of Cocaine’s Effect on the Mother Infant Dyad. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:24c7c9cd-d8d3-4819-acf9-3e7d1af934d2

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):

McMurray, Matthew Stephen. “A Rodent Model of Cocaine’s Effect on the Mother Infant Dyad.” 2011. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:24c7c9cd-d8d3-4819-acf9-3e7d1af934d2.

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

MLA Handbook (7th Edition):

McMurray, Matthew Stephen. “A Rodent Model of Cocaine’s Effect on the Mother Infant Dyad.” 2011. Web. 29 Nov 2020.

Vancouver:

McMurray MS. A Rodent Model of Cocaine’s Effect on the Mother Infant Dyad. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:24c7c9cd-d8d3-4819-acf9-3e7d1af934d2.

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

Council of Science Editors:

McMurray MS. A Rodent Model of Cocaine’s Effect on the Mother Infant Dyad. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:24c7c9cd-d8d3-4819-acf9-3e7d1af934d2

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


University of North Carolina

2. Cao, Tian. Coupled Dictionary Learning for Image Analysis.

Degree: Computer Science, 2016, University of North Carolina

 Modern imaging technologies provide different ways to visualize various objects ranging from molecules in a cell to the tissue of a human body. Images from… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Cao, T. (2016). Coupled Dictionary Learning for Image Analysis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:3947027b-8683-4c77-aa06-16d03417bc25

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):

Cao, Tian. “Coupled Dictionary Learning for Image Analysis.” 2016. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:3947027b-8683-4c77-aa06-16d03417bc25.

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

MLA Handbook (7th Edition):

Cao, Tian. “Coupled Dictionary Learning for Image Analysis.” 2016. Web. 29 Nov 2020.

Vancouver:

Cao T. Coupled Dictionary Learning for Image Analysis. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:3947027b-8683-4c77-aa06-16d03417bc25.

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

Council of Science Editors:

Cao T. Coupled Dictionary Learning for Image Analysis. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:3947027b-8683-4c77-aa06-16d03417bc25

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


University of North Carolina

3. Yang, Xiao. Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration.

Degree: Computer Science, 2017, University of North Carolina

 Image registration is essential for medical image analysis to provide spatial correspondences. It is a difficult problem due to the modeling complexity of image appearance… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Yang, X. (2017). Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:a381c258-38eb-4a3f-950b-a19bf7ed3bf7

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):

Yang, Xiao. “Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:a381c258-38eb-4a3f-950b-a19bf7ed3bf7.

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

MLA Handbook (7th Edition):

Yang, Xiao. “Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration.” 2017. Web. 29 Nov 2020.

Vancouver:

Yang X. Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:a381c258-38eb-4a3f-950b-a19bf7ed3bf7.

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

Council of Science Editors:

Yang X. Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:a381c258-38eb-4a3f-950b-a19bf7ed3bf7

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


University of North Carolina

4. Meng, Yu. Computational Cortical Surface Analysis for Study of Early Brain Development.

Degree: Computer Science, 2017, University of North Carolina

 The study of morphological attributes of the cerebral cortex and their development is very important in understanding the dynamic and critical early brain development. Comparing… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Meng, Y. (2017). Computational Cortical Surface Analysis for Study of Early Brain Development. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:731159c7-f5b8-41eb-9a15-24cec0efd7c1

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):

Meng, Yu. “Computational Cortical Surface Analysis for Study of Early Brain Development.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:731159c7-f5b8-41eb-9a15-24cec0efd7c1.

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

MLA Handbook (7th Edition):

Meng, Yu. “Computational Cortical Surface Analysis for Study of Early Brain Development.” 2017. Web. 29 Nov 2020.

Vancouver:

Meng Y. Computational Cortical Surface Analysis for Study of Early Brain Development. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:731159c7-f5b8-41eb-9a15-24cec0efd7c1.

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

Council of Science Editors:

Meng Y. Computational Cortical Surface Analysis for Study of Early Brain Development. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:731159c7-f5b8-41eb-9a15-24cec0efd7c1

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


University of North Carolina

5. Liu, Yufeng. Advanced Statistical Learning Techniques for High-Dimensional Imaging Data.

Degree: Statistics and Operations Research, 2018, University of North Carolina

 With the rapid development of neuroimaging techniques, scientists are interested in identifying imaging biomarkers that are related to different subtypes or transitional stages of various… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

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APA (6th Edition):

Liu, Y. (2018). Advanced Statistical Learning Techniques for High-Dimensional Imaging Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:85b2de0e-f28e-4878-976b-91f7a44cdb6d

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):

Liu, Yufeng. “Advanced Statistical Learning Techniques for High-Dimensional Imaging Data.” 2018. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:85b2de0e-f28e-4878-976b-91f7a44cdb6d.

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

MLA Handbook (7th Edition):

Liu, Yufeng. “Advanced Statistical Learning Techniques for High-Dimensional Imaging Data.” 2018. Web. 29 Nov 2020.

Vancouver:

Liu Y. Advanced Statistical Learning Techniques for High-Dimensional Imaging Data. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:85b2de0e-f28e-4878-976b-91f7a44cdb6d.

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

Council of Science Editors:

Liu Y. Advanced Statistical Learning Techniques for High-Dimensional Imaging Data. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:85b2de0e-f28e-4878-976b-91f7a44cdb6d

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


University of North Carolina

6. Lyall, Amanda. Trajectories of Early Cortical Development in Healthy and At-Risk Children.

Degree: 2014, University of North Carolina

 Increasing evidence supports the idea that many neurodevelopmental and psychiatric disorders are the result of abnormal brain development, either in the prenatal period or in… (more)

Subjects/Keywords: Neurosciences; School of Medicine; UNC Neuroscience Center; Neuroscience Curriculum

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APA (6th Edition):

Lyall, A. (2014). Trajectories of Early Cortical Development in Healthy and At-Risk Children. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:0e2a072b-605b-4ca9-baea-ebb644172e16

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):

Lyall, Amanda. “Trajectories of Early Cortical Development in Healthy and At-Risk Children.” 2014. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:0e2a072b-605b-4ca9-baea-ebb644172e16.

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

MLA Handbook (7th Edition):

Lyall, Amanda. “Trajectories of Early Cortical Development in Healthy and At-Risk Children.” 2014. Web. 29 Nov 2020.

Vancouver:

Lyall A. Trajectories of Early Cortical Development in Healthy and At-Risk Children. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:0e2a072b-605b-4ca9-baea-ebb644172e16.

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

Council of Science Editors:

Lyall A. Trajectories of Early Cortical Development in Healthy and At-Risk Children. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:0e2a072b-605b-4ca9-baea-ebb644172e16

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


University of North Carolina

7. Cornea, Emil. Advanced Biostatistical Methods for Curved and Censored Biomedical Data.

Degree: Biostatistics, 2014, University of North Carolina

 This research was dedicated to analyze two types of biomedical data: curved data lying on a manifold and censored survival data from clinical trials. The… (more)

Subjects/Keywords: Biometry; Statistics; Gillings School of Global Public Health; Department of Biostatistics

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APA (6th Edition):

Cornea, E. (2014). Advanced Biostatistical Methods for Curved and Censored Biomedical Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:3ff95a12-c865-4a8c-85c6-013edb9a30e8

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):

Cornea, Emil. “Advanced Biostatistical Methods for Curved and Censored Biomedical Data.” 2014. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:3ff95a12-c865-4a8c-85c6-013edb9a30e8.

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

MLA Handbook (7th Edition):

Cornea, Emil. “Advanced Biostatistical Methods for Curved and Censored Biomedical Data.” 2014. Web. 29 Nov 2020.

Vancouver:

Cornea E. Advanced Biostatistical Methods for Curved and Censored Biomedical Data. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:3ff95a12-c865-4a8c-85c6-013edb9a30e8.

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

Council of Science Editors:

Cornea E. Advanced Biostatistical Methods for Curved and Censored Biomedical Data. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:3ff95a12-c865-4a8c-85c6-013edb9a30e8

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


University of North Carolina

8. Lyu, Ilwoo. Cortical Surface Registration and Shape Analysis.

Degree: Computer Science, 2017, University of North Carolina

 A population analysis of human cortical morphometry is critical for insights into brain development or degeneration. Such an analysis allows for investigating sulcal and gyral… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Lyu, I. (2017). Cortical Surface Registration and Shape Analysis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:ad1a44c4-20b0-4d90-8154-3e2f9629d375

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):

Lyu, Ilwoo. “Cortical Surface Registration and Shape Analysis.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:ad1a44c4-20b0-4d90-8154-3e2f9629d375.

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

MLA Handbook (7th Edition):

Lyu, Ilwoo. “Cortical Surface Registration and Shape Analysis.” 2017. Web. 29 Nov 2020.

Vancouver:

Lyu I. Cortical Surface Registration and Shape Analysis. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:ad1a44c4-20b0-4d90-8154-3e2f9629d375.

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

Council of Science Editors:

Lyu I. Cortical Surface Registration and Shape Analysis. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:ad1a44c4-20b0-4d90-8154-3e2f9629d375

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


University of North Carolina

9. Verde, Audrey. Structural abnormalities within the episodic prospection and decision making circuitry in cigarette smokers: a DTI and sMRI analysis.

Degree: 2014, University of North Carolina

 Smokers characteristically show a heightened tendency to select smaller, sooner over larger, delayed rewards, and the neurobiology of such decision making is beginning to come… (more)

Subjects/Keywords: Neurosciences; School of Medicine; UNC Neuroscience Center; Neuroscience Curriculum

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

APA (6th Edition):

Verde, A. (2014). Structural abnormalities within the episodic prospection and decision making circuitry in cigarette smokers: a DTI and sMRI analysis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e6b16f2d-2ae7-4f0b-abfe-618a92d29d34

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):

Verde, Audrey. “Structural abnormalities within the episodic prospection and decision making circuitry in cigarette smokers: a DTI and sMRI analysis.” 2014. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:e6b16f2d-2ae7-4f0b-abfe-618a92d29d34.

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

MLA Handbook (7th Edition):

Verde, Audrey. “Structural abnormalities within the episodic prospection and decision making circuitry in cigarette smokers: a DTI and sMRI analysis.” 2014. Web. 29 Nov 2020.

Vancouver:

Verde A. Structural abnormalities within the episodic prospection and decision making circuitry in cigarette smokers: a DTI and sMRI analysis. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:e6b16f2d-2ae7-4f0b-abfe-618a92d29d34.

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

Council of Science Editors:

Verde A. Structural abnormalities within the episodic prospection and decision making circuitry in cigarette smokers: a DTI and sMRI analysis. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:e6b16f2d-2ae7-4f0b-abfe-618a92d29d34

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


University of North Carolina

10. Oguz, Ipek. Groupwise shape correspondence with local features.

Degree: Computer Science, 2009, University of North Carolina

 Statistical shape analysis of anatomical structures plays an important role in many medical image analysis applications such as understanding the structural changes in anatomy in… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Oguz, I. (2009). Groupwise shape correspondence with local features. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:898e4f78-fb6f-446b-8687-f5273ace6409

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):

Oguz, Ipek. “Groupwise shape correspondence with local features.” 2009. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:898e4f78-fb6f-446b-8687-f5273ace6409.

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

MLA Handbook (7th Edition):

Oguz, Ipek. “Groupwise shape correspondence with local features.” 2009. Web. 29 Nov 2020.

Vancouver:

Oguz I. Groupwise shape correspondence with local features. [Internet] [Thesis]. University of North Carolina; 2009. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:898e4f78-fb6f-446b-8687-f5273ace6409.

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

Council of Science Editors:

Oguz I. Groupwise shape correspondence with local features. [Thesis]. University of North Carolina; 2009. Available from: https://cdr.lib.unc.edu/record/uuid:898e4f78-fb6f-446b-8687-f5273ace6409

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

.