Jack, Clifford R.

Angular versus spatial resolution trade-offs for diffusion imaging under time constraints

Zhan, L., Jahanshad, N., Ennis, D. B., Jin, Y., Bernstein, M. A., Borowski, B. J., Jack, C. R., Toga, A. W., Leow, A. D., & Thompson, P. M. (2013) · Human Brain Mapping

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Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

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Effects of age on the glucose metabolic changes in mild cognitive impairment

Kantarci, K., Senjem, M. L., Lowe, V. J., Wiste, H. J., Weigand, S. D., Kemp, B. J., Frank, A. R., Shiung, M. M., Boeve, B. F., Knopman, D. S., et al. (2010) · American Journal of Neuroradiology

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Comparison of [18F]Flutemetamol and [11C]Pittsburgh Compound-B in cognitively normal young, cognitively normal elderly, and Alzheimer's disease dementia individuals

Lowe, V. J., Lundt, E., Knopman, D., Senjem, M. L., Gunter, J. L., Schwarz, C. G., Kemp, B. J., Jack, C. R., & Petersen, R. C. (2017) · NeuroImage: Clinical

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Regional differences in MRI detection of amyloid plaques in AD transgenic mouse brain

Wengenack, T. M., Reyes, D. A., Curran, G. L., Borowski, B. J., Lin, J., Preboske, G. M., Holasek, S. S., Gilles, E. J., Chamberlain, R., Marjanska, M., et al. (2011) · NeuroImage

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Longitudinal atrophy in prodromal dementia with Lewy bodies points to cholinergic degeneration

Kantarci, K., Nedelska, Z., Chen, Q., Senjem, M. L., Schwarz, C. G., Gunter, J. L., Przybelski, S. A., Lesnick, T. G., Kremers, W. K., Fields, J. A., et al. (2022) · Brain Communications

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Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer’s disease deficits

Nir, T. M., Jahanshad, N., Villalon‐Reina, J. E., Isaev, D., Zavaliangos‐Petropulu, A., Zhan, L., Leow, A. D., Jack, C. R., Weiner, M. W., Thompson, P. M., et al. (2017) · Magnetic Resonance in Medicine

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Frequency and topography of cerebral microbleeds in dementia with Lewy bodies compared to Alzheimer's disease

Gungor, I., Sarro, L., Graff-Radford, J., Zuk, S. M., Tosakulwong, N., Przybelski, S. A., Lesnick, T., Boeve, B. F., Ferman, T. J., Smith, G. E., et al. (2015) · Parkinsonism & Related Disorders

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White Matter Degeneration Pathways Associated With Tau Deposition in Alzheimer Disease

Tian, J., Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Gebre, R. K., Graff-Radford, J., Schwarz, C. G., Lowe, V. J., Kantarci, K., et al. (2023) · Neurology

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Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

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Rates of lobar atrophy in asymptomatic MAPT mutation carriers

Chen, Q., Boeve, B. F., Senjem, M., Tosakulwong, N., Lesnick, T. G., Brushaber, D., Dheel, C., Fields, J., Forsberg, L., Gavrilova, R., et al. (2019) · Alzheimer's & Dementia: Translational Research & Clinical Interventions

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18F-fluorodeoxyglucose positron emission tomography in dementia with Lewy bodies

Graff-Radford, J., Lesnick, T. G., Savica, R., Chen, Q., Ferman, T. J., Przybelski, S. A., Jones, D. T., Senjem, M. L., Gunter, J. L., Kremers, W. K., et al. (2020) · Brain Communications

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An FDG-PET-based machine learning framework to support neurologic decision-making in Alzheimer disease and related disorders

Barnard, L., Botha, H., Corriveau-Lecavalier, N., Graff-Radford, J., Dicks, E., Gogineni, V., Zhang, G., Burkett, B. J., Johnson, D. R., Huls, S. J., et al. (2025) · Neurology

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Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis

Ramanan, V. K., Gebre, R. K., Graff-Radford, J., Hofrenning, E., Algeciras-Schimnich, A., Figdore, D. J., Lowe, V. J., Mielke, M. M., Knopman, D. S., Ross, O. A., et al. (2023) · Brain

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NODDI in gray matter is a sensitive marker of aging and early AD changes

Yu, X., Przybelski, S. A., Reid, R. I., Lesnick, T. G., Raghavan, S., Graff‐Radford, J., Lowe, V. J., Kantarci, K., Knopman, D. S., Petersen, R. C., et al. (2024) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

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Brain mechanical properties predict longitudinal cognitive change in aging and Alzheimer’s disease

Pavuluri, K., Huston, J., Ehman, R. L., Manduca, A., Vemuri, P., Jack, C. R., Senjem, M. L., & Murphy, M. C. (2025) · Neurobiology of Aging

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Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

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