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You searched for subject:(perivascular spaces). Showing records 1 – 5 of 5 total matches.

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University of Hawaii – Manoa

1. Tata, Kalpana Juliet K. Structural brain changes associated with detectable HIV DNA.

Degree: 2016, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2012.

In the era of potent antiretroviral therapy, HIV-related neurocognitive dysfunction remains prevalent although its severest form, HIV dementia,… (more)

Subjects/Keywords: HIV; MRI; cognitive impairment; subcortical; insula; perivascular spaces

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APA (6th Edition):

Tata, K. J. K. (2016). Structural brain changes associated with detectable HIV DNA. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/100802

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):

Tata, Kalpana Juliet K. “Structural brain changes associated with detectable HIV DNA.” 2016. Thesis, University of Hawaii – Manoa. Accessed February 26, 2021. http://hdl.handle.net/10125/100802.

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

MLA Handbook (7th Edition):

Tata, Kalpana Juliet K. “Structural brain changes associated with detectable HIV DNA.” 2016. Web. 26 Feb 2021.

Vancouver:

Tata KJK. Structural brain changes associated with detectable HIV DNA. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10125/100802.

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

Council of Science Editors:

Tata KJK. Structural brain changes associated with detectable HIV DNA. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/100802

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


Delft University of Technology

2. van Wijnen, Kimberlin (author). Detecting Perivascular Spaces: a Geodesic Deep Learning Approach.

Degree: 2018, Delft University of Technology

Perivascular spaces (PVS) visible on MRI are currently emerging as an important potential neuroimaging marker for several pathologies in the brain like Alzheimer’s disease and… (more)

Subjects/Keywords: Deep learning; perivascular spaces; detection; geodesic distance transform; dot annotations; weighted loss

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APA (6th Edition):

van Wijnen, K. (. (2018). Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb

Chicago Manual of Style (16th Edition):

van Wijnen, Kimberlin (author). “Detecting Perivascular Spaces: a Geodesic Deep Learning Approach.” 2018. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb.

MLA Handbook (7th Edition):

van Wijnen, Kimberlin (author). “Detecting Perivascular Spaces: a Geodesic Deep Learning Approach.” 2018. Web. 26 Feb 2021.

Vancouver:

van Wijnen K(. Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb.

Council of Science Editors:

van Wijnen K(. Detecting Perivascular Spaces: a Geodesic Deep Learning Approach. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0696f548-97b8-4b32-b21c-cb5b95ed02eb

3. Spijkerman, J.M. Quantitative MRI of brain fluids.

Degree: 2019, University Utrecht

 Objective: The current gold standard for imaging cerebral Small Vessel Disease (SVD) is to asses structural tissue damage using anatomical MRI. However, the underlying pathology… (more)

Subjects/Keywords: Quantitative MRI; Small Vessel Disease; cerebrospinal fluid; perivascular spaces

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APA (6th Edition):

Spijkerman, J. M. (2019). Quantitative MRI of brain fluids. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/373953 ; URN:NBN:NL:UI:10-1874-373953 ; urn:isbn:978-94-6375-231-2 ; URN:NBN:NL:UI:10-1874-373953 ; https://dspace.library.uu.nl/handle/1874/373953

Chicago Manual of Style (16th Edition):

Spijkerman, J M. “Quantitative MRI of brain fluids.” 2019. Doctoral Dissertation, University Utrecht. Accessed February 26, 2021. https://dspace.library.uu.nl/handle/1874/373953 ; URN:NBN:NL:UI:10-1874-373953 ; urn:isbn:978-94-6375-231-2 ; URN:NBN:NL:UI:10-1874-373953 ; https://dspace.library.uu.nl/handle/1874/373953.

MLA Handbook (7th Edition):

Spijkerman, J M. “Quantitative MRI of brain fluids.” 2019. Web. 26 Feb 2021.

Vancouver:

Spijkerman JM. Quantitative MRI of brain fluids. [Internet] [Doctoral dissertation]. University Utrecht; 2019. [cited 2021 Feb 26]. Available from: https://dspace.library.uu.nl/handle/1874/373953 ; URN:NBN:NL:UI:10-1874-373953 ; urn:isbn:978-94-6375-231-2 ; URN:NBN:NL:UI:10-1874-373953 ; https://dspace.library.uu.nl/handle/1874/373953.

Council of Science Editors:

Spijkerman JM. Quantitative MRI of brain fluids. [Doctoral Dissertation]. University Utrecht; 2019. Available from: https://dspace.library.uu.nl/handle/1874/373953 ; URN:NBN:NL:UI:10-1874-373953 ; urn:isbn:978-94-6375-231-2 ; URN:NBN:NL:UI:10-1874-373953 ; https://dspace.library.uu.nl/handle/1874/373953


Erasmus University Rotterdam

4. Dubost, Florian. Artificial Intelligence with Light Supervision: Application to Neuroimaging.

Degree: 2020, Erasmus University Rotterdam

 textabstractRecent developments in artificial intelligence research have resulted in tremendous success in computer vision, natural language processing and medical imaging tasks, often reaching human or… (more)

Subjects/Keywords: neural networks; dementia; stroke; perivascular spaces; deep learning; machine learning; white matter hyperintensities

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

APA (6th Edition):

Dubost, F. (2020). Artificial Intelligence with Light Supervision: Application to Neuroimaging. (Doctoral Dissertation). Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/126586

Chicago Manual of Style (16th Edition):

Dubost, Florian. “Artificial Intelligence with Light Supervision: Application to Neuroimaging.” 2020. Doctoral Dissertation, Erasmus University Rotterdam. Accessed February 26, 2021. http://hdl.handle.net/1765/126586.

MLA Handbook (7th Edition):

Dubost, Florian. “Artificial Intelligence with Light Supervision: Application to Neuroimaging.” 2020. Web. 26 Feb 2021.

Vancouver:

Dubost F. Artificial Intelligence with Light Supervision: Application to Neuroimaging. [Internet] [Doctoral dissertation]. Erasmus University Rotterdam; 2020. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1765/126586.

Council of Science Editors:

Dubost F. Artificial Intelligence with Light Supervision: Application to Neuroimaging. [Doctoral Dissertation]. Erasmus University Rotterdam; 2020. Available from: http://hdl.handle.net/1765/126586

5. Potter, Gillian Margaret. Neuroimaging of cerebral small vessel disease.

Degree: Thesis (M.D.), 2011, University of Edinburgh

 Lacunar stroke accounts for one quarter of all ischaemic stroke and in the long term carries a greater risk of death and disability than was… (more)

Subjects/Keywords: 616.1; stroke; lacunar stroke; cerebral small vessel disease; white matter lesions; enlarged perivascular spaces

…Figure 10 Differentiation of lacunes from enlarged perivascular spaces… …13 Examples of enlarged perivascular spaces (EPVS) on T2-weighted magnetic… …Figure 14 Main causes for observer variability in enlarged perivascular spaces (EPVS)… …68 Table 5.1 Definitions for lacunar lesions and enlarged perivascular spaces in the… …enlarged perivascular spaces… 

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

APA (6th Edition):

Potter, G. M. (2011). Neuroimaging of cerebral small vessel disease. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5598

Chicago Manual of Style (16th Edition):

Potter, Gillian Margaret. “Neuroimaging of cerebral small vessel disease.” 2011. Doctoral Dissertation, University of Edinburgh. Accessed February 26, 2021. http://hdl.handle.net/1842/5598.

MLA Handbook (7th Edition):

Potter, Gillian Margaret. “Neuroimaging of cerebral small vessel disease.” 2011. Web. 26 Feb 2021.

Vancouver:

Potter GM. Neuroimaging of cerebral small vessel disease. [Internet] [Doctoral dissertation]. University of Edinburgh; 2011. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1842/5598.

Council of Science Editors:

Potter GM. Neuroimaging of cerebral small vessel disease. [Doctoral Dissertation]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/5598

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