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Showing 1 to 12 of 13 entries
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Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly.

Proceedings. IEEE International Symposium on Biomedical Imaging

Madsen SK, Ver Steeg G, Mezher A, Jahanshad N, Nir TM, Hua X, Gutman BA, Galstyan A, Thompson PM.
PMID: 26413208
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:980-984. doi: 10.1109/ISBI.2015.7164035.

Cognitive decline in old age is tightly linked with brain atrophy, causing significant burden. It is critical to identify which biomarkers are most predictive of cognitive decline and brain atrophy in the elderly. In 566 older adults from the...

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Madsen SK, Ver Steeg G, Mezher A, et al. Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly. Proc IEEE Int Symp Biomed Imaging. 2015;2015:980-984doi: 10.1109/ISBI.2015.7164035.
Madsen, S. K., Ver Steeg, G., Mezher, A., Jahanshad, N., Nir, T. M., Hua, X., Gutman, B. A., Galstyan, A., Thompson, P. M. (2015). Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly. Proceedings. IEEE International Symposium on Biomedical Imaging, 2015980-984. https://doi.org/10.1109/ISBI.2015.7164035
Madsen, Sarah K, et al. "Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 980-984. doi: https://doi.org/10.1109/ISBI.2015.7164035
Madsen SK, Ver Steeg G, Mezher A, Jahanshad N, Nir TM, Hua X, Gutman BA, Galstyan A, Thompson PM. Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:980-984. doi: 10.1109/ISBI.2015.7164035. PMID: 26413208; PMCID: PMC4578218.
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Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis.

Proceedings. IEEE International Symposium on Biomedical Imaging

Gutman BA, Jahanshad N, Ching CR, Wang Y, Kochunov PV, Nichols TE, Thompson PM.
PMID: 26413211
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:1402-1406. doi: 10.1109/ISBI.2015.7164138.

We present a multi-cohort shape heritability study, extending the fast spherical demons registration to subcortical shapes via medial modeling. A multi-channel demons registration based on vector spherical harmonics is applied to medial and curvature features, while controlling for metric...

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Gutman BA, Jahanshad N, Ching CR, et al. Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis. Proc IEEE Int Symp Biomed Imaging. 2015;2015:1402-1406doi: 10.1109/ISBI.2015.7164138.
Gutman, B. A., Jahanshad, N., Ching, C. R., Wang, Y., Kochunov, P. V., Nichols, T. E., & Thompson, P. M. (2015). Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis. Proceedings. IEEE International Symposium on Biomedical Imaging, 20151402-1406. https://doi.org/10.1109/ISBI.2015.7164138
Gutman, Boris A, et al. "Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 1402-1406. doi: https://doi.org/10.1109/ISBI.2015.7164138
Gutman BA, Jahanshad N, Ching CR, Wang Y, Kochunov PV, Nichols TE, Thompson PM. Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:1402-1406. doi: 10.1109/ISBI.2015.7164138. PMID: 26413211; PMCID: PMC4578221.
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HIV effects on age-associated neurocognitive dysfunction: premature cognitive aging or neurodegenerative disease?.

Alzheimer's research & therapy

Cohen RA, Seider TR, Navia B.
PMID: 25848401
Alzheimers Res Ther. 2015 Apr 06;7(1):37. doi: 10.1186/s13195-015-0123-4. eCollection 2015.

Marked improvements in survival and health outcome for people infected with HIV have occurred since the advent of combination antiretroviral therapy over a decade ago. Yet HIV-associated neurocognitive disorders continue to occur with an alarming prevalence. This may reflect...

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Cohen RA, Seider TR, Navia B. HIV effects on age-associated neurocognitive dysfunction: premature cognitive aging or neurodegenerative disease?. Alzheimers Res Ther. 2015;7(1):37doi: 10.1186/s13195-015-0123-4.
Cohen, R. A., Seider, T. R., & Navia, B. (2015). HIV effects on age-associated neurocognitive dysfunction: premature cognitive aging or neurodegenerative disease?. Alzheimer's research & therapy, 7(1), 37. https://doi.org/10.1186/s13195-015-0123-4
Cohen, Ronald A, et al. "HIV effects on age-associated neurocognitive dysfunction: premature cognitive aging or neurodegenerative disease?." Alzheimer's research & therapy vol. 7,1 (2015): 37. doi: https://doi.org/10.1186/s13195-015-0123-4
Cohen RA, Seider TR, Navia B. HIV effects on age-associated neurocognitive dysfunction: premature cognitive aging or neurodegenerative disease?. Alzheimers Res Ther. 2015 Apr 06;7(1):37. doi: 10.1186/s13195-015-0123-4. eCollection 2015. PMID: 25848401; PMCID: PMC4386102.
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MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS.

Proceedings. IEEE International Symposium on Biomedical Imaging

Dennis EL, Rashid F, Faskowitz J, Jin Y, McMahon KL, de Zubicaray GI, Martin NG, Hickie IB, Wright MJ, Jahanshad N, Thompson PM.
PMID: 29201279
Proc IEEE Int Symp Biomed Imaging. 2017;2017:101-104. doi: 10.1109/ISBI.2017.7950478. Epub 2017 Jun 19.

Brain development is a protracted and dynamic process. Many studies have charted the trajectory of white matter development, but here we sought to map these effects in greater detail, based on a large set of fiber tracts automatically extracted...

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Dennis EL, Rashid F, Faskowitz J, et al. MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS. Proc IEEE Int Symp Biomed Imaging. 2017;2017:101-104doi: 10.1109/ISBI.2017.7950478.
Dennis, E. L., Rashid, F., Faskowitz, J., Jin, Y., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Wright, M. J., Jahanshad, N., & Thompson, P. M. (2017). MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS. Proceedings. IEEE International Symposium on Biomedical Imaging, 2017101-104. https://doi.org/10.1109/ISBI.2017.7950478
Dennis, Emily L, et al. "MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2017 (2017): 101-104. doi: https://doi.org/10.1109/ISBI.2017.7950478
Dennis EL, Rashid F, Faskowitz J, Jin Y, McMahon KL, de Zubicaray GI, Martin NG, Hickie IB, Wright MJ, Jahanshad N, Thompson PM. MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS. Proc IEEE Int Symp Biomed Imaging. 2017;2017:101-104. doi: 10.1109/ISBI.2017.7950478. Epub 2017 Jun 19. PMID: 29201279; PMCID: PMC5708552.
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WHITE MATTER INTEGRITY IN TRAUMATIC BRAIN INJURY: EFFECTS OF PERMISSIBLE FIBER TURNING ANGLE.

Proceedings. IEEE International Symposium on Biomedical Imaging

Dennis EL, Jin Y, Kernan C, Babikian T, Mink R, Babbitt C, Johnson J, Giza CC, Asarnow RF, Thompson PM.
PMID: 26413206
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:930-933. doi: 10.1109/ISBI.2015.7164023.

Traumatic brain injury (TBI) is the leading cause of death and disability in children. Diffusion weighted imaging (DWI) methods have been shown to be especially sensitive to white matter abnormalities in TBI. We used our newly developed autoMATE algorithm...

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Dennis EL, Jin Y, Kernan C, et al. WHITE MATTER INTEGRITY IN TRAUMATIC BRAIN INJURY: EFFECTS OF PERMISSIBLE FIBER TURNING ANGLE. Proc IEEE Int Symp Biomed Imaging. 2015;2015:930-933doi: 10.1109/ISBI.2015.7164023.
Dennis, E. L., Jin, Y., Kernan, C., Babikian, T., Mink, R., Babbitt, C., Johnson, J., Giza, C. C., Asarnow, R. F., & Thompson, P. M. (2015). WHITE MATTER INTEGRITY IN TRAUMATIC BRAIN INJURY: EFFECTS OF PERMISSIBLE FIBER TURNING ANGLE. Proceedings. IEEE International Symposium on Biomedical Imaging, 2015930-933. https://doi.org/10.1109/ISBI.2015.7164023
Dennis, Emily L, et al. "WHITE MATTER INTEGRITY IN TRAUMATIC BRAIN INJURY: EFFECTS OF PERMISSIBLE FIBER TURNING ANGLE." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 930-933. doi: https://doi.org/10.1109/ISBI.2015.7164023
Dennis EL, Jin Y, Kernan C, Babikian T, Mink R, Babbitt C, Johnson J, Giza CC, Asarnow RF, Thompson PM. WHITE MATTER INTEGRITY IN TRAUMATIC BRAIN INJURY: EFFECTS OF PERMISSIBLE FIBER TURNING ANGLE. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:930-933. doi: 10.1109/ISBI.2015.7164023. PMID: 26413206; PMCID: PMC4578174.
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Boosting Classification Accuracy of Diffusion MRI Derived Brain Networks for the Subtypes of Mild Cognitive Impairment Using Higher Order Singular Value Decomposition.

Proceedings. IEEE International Symposium on Biomedical Imaging

Zhan L, Liu Y, Zhou J, Ye J, Thompson PM.
PMID: 26413202
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:131-135. doi: 10.1109/ISBI.2015.7163833.

Mild cognitive impairment (MCI) is an intermediate stage between normal aging and Alzheimer's disease (AD), and around 10-15% of people with MCI develop AD each year. More recently, MCI has been further subdivided into early and late stages, and...

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Zhan L, Liu Y, Zhou J, et al. Boosting Classification Accuracy of Diffusion MRI Derived Brain Networks for the Subtypes of Mild Cognitive Impairment Using Higher Order Singular Value Decomposition. Proc IEEE Int Symp Biomed Imaging. 2015;2015:131-135doi: 10.1109/ISBI.2015.7163833.
Zhan, L., Liu, Y., Zhou, J., Ye, J., & Thompson, P. M. (2015). Boosting Classification Accuracy of Diffusion MRI Derived Brain Networks for the Subtypes of Mild Cognitive Impairment Using Higher Order Singular Value Decomposition. Proceedings. IEEE International Symposium on Biomedical Imaging, 2015131-135. https://doi.org/10.1109/ISBI.2015.7163833
Zhan, L, et al. "Boosting Classification Accuracy of Diffusion MRI Derived Brain Networks for the Subtypes of Mild Cognitive Impairment Using Higher Order Singular Value Decomposition." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 131-135. doi: https://doi.org/10.1109/ISBI.2015.7163833
Zhan L, Liu Y, Zhou J, Ye J, Thompson PM. Boosting Classification Accuracy of Diffusion MRI Derived Brain Networks for the Subtypes of Mild Cognitive Impairment Using Higher Order Singular Value Decomposition. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:131-135. doi: 10.1109/ISBI.2015.7163833. PMID: 26413202; PMCID: PMC4578228.
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A NETWORK APPROACH TO EXAMINING INJURY SEVERITY IN PEDIATRIC TBI.

Proceedings. IEEE International Symposium on Biomedical Imaging

Dennis EL, Rashid F, Jahanshad N, Babikian T, Mink R, Babbitt C, Johnson J, Giza CC, Asarnow RF, Thompson PM.
PMID: 29201280
Proc IEEE Int Symp Biomed Imaging. 2017;2017:105-108. doi: 10.1109/ISBI.2017.7950479. Epub 2017 Jun 19.

Traumatic brain injury (TBI) is the leading cause of death and disability in children, and can lead to long lasting functional impairment. Many factors influence outcome, but imaging studies examining effects of individual variables are limited by sample size....

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Dennis EL, Rashid F, Jahanshad N, et al. A NETWORK APPROACH TO EXAMINING INJURY SEVERITY IN PEDIATRIC TBI. Proc IEEE Int Symp Biomed Imaging. 2017;2017:105-108doi: 10.1109/ISBI.2017.7950479.
Dennis, E. L., Rashid, F., Jahanshad, N., Babikian, T., Mink, R., Babbitt, C., Johnson, J., Giza, C. C., Asarnow, R. F., & Thompson, P. M. (2017). A NETWORK APPROACH TO EXAMINING INJURY SEVERITY IN PEDIATRIC TBI. Proceedings. IEEE International Symposium on Biomedical Imaging, 2017105-108. https://doi.org/10.1109/ISBI.2017.7950479
Dennis, Emily L, et al. "A NETWORK APPROACH TO EXAMINING INJURY SEVERITY IN PEDIATRIC TBI." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2017 (2017): 105-108. doi: https://doi.org/10.1109/ISBI.2017.7950479
Dennis EL, Rashid F, Jahanshad N, Babikian T, Mink R, Babbitt C, Johnson J, Giza CC, Asarnow RF, Thompson PM. A NETWORK APPROACH TO EXAMINING INJURY SEVERITY IN PEDIATRIC TBI. Proc IEEE Int Symp Biomed Imaging. 2017;2017:105-108. doi: 10.1109/ISBI.2017.7950479. Epub 2017 Jun 19. PMID: 29201280; PMCID: PMC5706554.
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Subcortical shape and volume abnormalities in an elderly HIV+ cohort.

Proceedings of SPIE--the International Society for Optical Engineering

Wade BS, Valcour V, Busovaca E, Esmaeili-Firidouni P, Joshi SH, Wang Y, Thompson PM.
PMID: 25844123
Proc SPIE Int Soc Opt Eng. 2015 Mar 17;9417. doi: 10.1117/12.2082241.

Over 50% of HIV+ individuals show significant impairment in psychomotor functioning, processing speed, working memory and attention [1, 2]. Patients receiving combination antiretroviral therapy may still have subcortical atrophy, but the profile of HIV-associated brain changes is poorly understood....

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Wade BS, Valcour V, Busovaca E, et al. Subcortical shape and volume abnormalities in an elderly HIV+ cohort. Proc SPIE Int Soc Opt Eng. 2015;9417doi: 10.1117/12.2082241.
Wade, B. S., Valcour, V., Busovaca, E., Esmaeili-Firidouni, P., Joshi, S. H., Wang, Y., & Thompson, P. M. (2015). Subcortical shape and volume abnormalities in an elderly HIV+ cohort. Proceedings of SPIE--the International Society for Optical Engineering, 9417. https://doi.org/10.1117/12.2082241
Wade, Benjamin S C, et al. "Subcortical shape and volume abnormalities in an elderly HIV+ cohort." Proceedings of SPIE--the International Society for Optical Engineering vol. 9417 (2015). doi: https://doi.org/10.1117/12.2082241
Wade BS, Valcour V, Busovaca E, Esmaeili-Firidouni P, Joshi SH, Wang Y, Thompson PM. Subcortical shape and volume abnormalities in an elderly HIV+ cohort. Proc SPIE Int Soc Opt Eng. 2015 Mar 17;9417. doi: 10.1117/12.2082241. PMID: 25844123; PMCID: PMC4382084.
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OPTIMIZING BRAIN CONNECTIVITY NETWORKS FOR DISEASE CLASSIFICATION USING EPIC.

Proceedings. IEEE International Symposium on Biomedical Imaging

Prasad G, Joshi SH, Thompson PM.
PMID: 25405000
Proc IEEE Int Symp Biomed Imaging. 2014 May;2014:834-837. doi: 10.1109/ISBI.2014.6868000.

We propose a method to adaptively select an optimal cortical segmentation for brain connectivity analysis that maximizes feature-based disease classification performance. In standard structural connectivity analysis, the cortex is typically subdivided (parcellated) into

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Prasad G, Joshi SH, Thompson PM. OPTIMIZING BRAIN CONNECTIVITY NETWORKS FOR DISEASE CLASSIFICATION USING EPIC. Proc IEEE Int Symp Biomed Imaging. 2014;2014:834-837doi: 10.1109/ISBI.2014.6868000.
Prasad, G., Joshi, S. H., & Thompson, P. M. (2014). OPTIMIZING BRAIN CONNECTIVITY NETWORKS FOR DISEASE CLASSIFICATION USING EPIC. Proceedings. IEEE International Symposium on Biomedical Imaging, 2014834-837. https://doi.org/10.1109/ISBI.2014.6868000
Prasad, Gautam, et al. "OPTIMIZING BRAIN CONNECTIVITY NETWORKS FOR DISEASE CLASSIFICATION USING EPIC." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2014 (2014): 834-837. doi: https://doi.org/10.1109/ISBI.2014.6868000
Prasad G, Joshi SH, Thompson PM. OPTIMIZING BRAIN CONNECTIVITY NETWORKS FOR DISEASE CLASSIFICATION USING EPIC. Proc IEEE Int Symp Biomed Imaging. 2014 May;2014:834-837. doi: 10.1109/ISBI.2014.6868000. PMID: 25405000; PMCID: PMC4232940.
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Disrupted cerebral metabolite levels and lower nadir CD4 + counts are linked to brain volume deficits in 210 HIV-infected patients on stable treatment.

NeuroImage. Clinical

Hua X, Boyle CP, Harezlak J, Tate DF, Yiannoutsos CT, Cohen R, Schifitto G, Gongvatana A, Zhong J, Zhu T, Taylor MJ, Campbell TB, Daar ES, Alger JR, Singer E, Buchthal S, Toga AW, Navia B, Thompson PM.
PMID: 24179857
Neuroimage Clin. 2013 Aug 03;3:132-42. doi: 10.1016/j.nicl.2013.07.009. eCollection 2013.

Cognitive impairment and brain injury are common in people with HIV/AIDS, even when viral replication is effectively suppressed with combined antiretroviral therapies (cART). Metabolic and structural abnormalities may promote cognitive decline, but we know little about how these measures...

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Hua X, Boyle CP, Harezlak J, et al. Disrupted cerebral metabolite levels and lower nadir CD4 + counts are linked to brain volume deficits in 210 HIV-infected patients on stable treatment. Neuroimage Clin. 2013;3:132-42doi: 10.1016/j.nicl.2013.07.009.
Hua, X., Boyle, C. P., Harezlak, J., Tate, D. F., Yiannoutsos, C. T., Cohen, R., Schifitto, G., Gongvatana, A., Zhong, J., Zhu, T., Taylor, M. J., Campbell, T. B., Daar, E. S., Alger, J. R., Singer, E., Buchthal, S., Toga, A. W., Navia, B., Thompson, P. M. (2013). Disrupted cerebral metabolite levels and lower nadir CD4 + counts are linked to brain volume deficits in 210 HIV-infected patients on stable treatment. NeuroImage. Clinical, 3132-42. https://doi.org/10.1016/j.nicl.2013.07.009
Hua, Xue, et al. "Disrupted cerebral metabolite levels and lower nadir CD4 + counts are linked to brain volume deficits in 210 HIV-infected patients on stable treatment." NeuroImage. Clinical vol. 3 (2013): 132-42. doi: https://doi.org/10.1016/j.nicl.2013.07.009
Hua X, Boyle CP, Harezlak J, Tate DF, Yiannoutsos CT, Cohen R, Schifitto G, Gongvatana A, Zhong J, Zhu T, Taylor MJ, Campbell TB, Daar ES, Alger JR, Singer E, Buchthal S, Toga AW, Navia B, Thompson PM. Disrupted cerebral metabolite levels and lower nadir CD4 + counts are linked to brain volume deficits in 210 HIV-infected patients on stable treatment. Neuroimage Clin. 2013 Aug 03;3:132-42. doi: 10.1016/j.nicl.2013.07.009. eCollection 2013. PMID: 24179857; PMCID: PMC3791291.
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Network-based approaches to examining stress in the adolescent brain.

Neurobiology of stress

Ho TC, Dennis EL, Thompson PM, Gotlib IH.
PMID: 29888310
Neurobiol Stress. 2018 May 06;8:147-157. doi: 10.1016/j.ynstr.2018.05.002. eCollection 2018 Feb.

Exposure to stress, particularly in periods of rapid brain maturation such as adolescence, can profoundly influence developmental processes that undergird the organization of structural and functional brain networks and that may mediate the association between stressful experiences and maladaptive...

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Ho TC, Dennis EL, Thompson PM, et al. Network-based approaches to examining stress in the adolescent brain. Neurobiol Stress. 2018;8:147-157doi: 10.1016/j.ynstr.2018.05.002.
Ho, T. C., Dennis, E. L., Thompson, P. M., & Gotlib, I. H. (2018). Network-based approaches to examining stress in the adolescent brain. Neurobiology of stress, 8147-157. https://doi.org/10.1016/j.ynstr.2018.05.002
Ho, Tiffany C, et al. "Network-based approaches to examining stress in the adolescent brain." Neurobiology of stress vol. 8 (2018): 147-157. doi: https://doi.org/10.1016/j.ynstr.2018.05.002
Ho TC, Dennis EL, Thompson PM, Gotlib IH. Network-based approaches to examining stress in the adolescent brain. Neurobiol Stress. 2018 May 06;8:147-157. doi: 10.1016/j.ynstr.2018.05.002. eCollection 2018 Feb. PMID: 29888310; PMCID: PMC5991327.
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MAPPING ABNORMAL SUBCORTICAL BRAIN MORPHOMETRY IN AN ELDERLY HIV+ COHORT.

Proceedings. IEEE International Symposium on Biomedical Imaging

Wade BS, Valcour VG, Wendelken-Riegelhaupt L, Esmaeili-Firidouni P, Joshi SH, Wang Y, Thompson PM.
PMID: 26413207
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:971-975. doi: 10.1109/ISBI.2015.7164033.

Over 50% of HIV+ individuals exhibit neurocognitive impairment and subcortical atrophy, but the pattern of brain abnormalities associated with HIV is still poorly understood. Using parametric surface-based shape analyses, we mapped the 3D profile of subcortical morphometry in 63...

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Wade BS, Valcour VG, Wendelken-Riegelhaupt L, et al. MAPPING ABNORMAL SUBCORTICAL BRAIN MORPHOMETRY IN AN ELDERLY HIV+ COHORT. Proc IEEE Int Symp Biomed Imaging. 2015;2015:971-975doi: 10.1109/ISBI.2015.7164033.
Wade, B. S., Valcour, V. G., Wendelken-Riegelhaupt, L., Esmaeili-Firidouni, P., Joshi, S. H., Wang, Y., & Thompson, P. M. (2015). MAPPING ABNORMAL SUBCORTICAL BRAIN MORPHOMETRY IN AN ELDERLY HIV+ COHORT. Proceedings. IEEE International Symposium on Biomedical Imaging, 2015971-975. https://doi.org/10.1109/ISBI.2015.7164033
Wade, Benjamin S C, et al. "MAPPING ABNORMAL SUBCORTICAL BRAIN MORPHOMETRY IN AN ELDERLY HIV+ COHORT." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 971-975. doi: https://doi.org/10.1109/ISBI.2015.7164033
Wade BS, Valcour VG, Wendelken-Riegelhaupt L, Esmaeili-Firidouni P, Joshi SH, Wang Y, Thompson PM. MAPPING ABNORMAL SUBCORTICAL BRAIN MORPHOMETRY IN AN ELDERLY HIV+ COHORT. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:971-975. doi: 10.1109/ISBI.2015.7164033. PMID: 26413207; PMCID: PMC4578225.
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