Hess, Christopher P.
University of California, San Francisco
14 papers on CoChatORCID 0000-0002-5132-5302
Most cited papers
- Verified
Federated learning for predicting clinical outcomes in patients with COVID-19
Dayan, I., Roth, H. R., Zhong, A., Harouni, A., Gentili, A., Abidin, A. Z., Liu, A., Costa, A. B., Wood, B. J., Tsai, C.-S., et al. (2021) · Nature Medicine
Machine Learning in HealthcareCOVID-19 diagnosis using AI
Cited by 842
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Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease
Desikan, R. S., Cabral, H. J., Hess, C. P., Dillon, W. P., Glastonbury, C. M., Weiner, M. W., Schmansky, N. J., Greve, D. N., Salat, D. H., Buckner, R. L., et al. (2009) · Brain
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 405
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Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score
Desikan, R. S., Fan, C. C., Wang, Y., Schork, A. J., Cabral, H. J., Cupples, L. A., Thompson, W. K., Besser, L., Kukull, W. A., Holland, D., et al. (2017) · PLoS Medicine
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 395
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Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the Radiology Editorial Board
Bluemke, D. A., Moy, L., Bredella, M. A., Ertl-Wagner, B. B., Fowler, K. J., Goh, V. J., Halpern, E. F., Hess, C. P., Schiebler, M. L., & Weiss, C. R. (2020) · Radiology
Artificial Intelligence in Healthcare and EducationAcademic Writing and Publishing
Cited by 343
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Hippocampal CA1 apical neuropil atrophy in mild Alzheimer disease visualized with 7-T MRI
Kerchner, G. A., Hess, C. P., Hammond-Rosenbluth, K. E., Xu, D., Rabinovici, G. D., Kelley, D. A. C., Vigneron, D. B., Nelson, S. J., & Miller, B. L. (2010) · Neurology
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 193
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Association between genetic traits for immune-mediated diseases and Alzheimer disease
Yokoyama, J. S., Wang, Y., Schork, A. J., Thompson, W. K., Karch, C. M., Cruchaga, C., McEvoy, L. K., Witoelar, A., Chen, C.-H., Holland, D., et al. (2016) · JAMA Neurology
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 176
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Polygenic Overlap Between C-Reactive Protein, Plasma Lipids, and Alzheimer Disease
Desikan, R. S., Schork, A. J., Wang, Y., Thompson, W. K., Dehghan, A., Ridker, P. M., Chasman, D. I., McEvoy, L. K., Holland, D., Chen, C.-H., et al. (2015) · Circulation
Alzheimer's disease research and treatmentsGenetic Associations and Epidemiology
Cited by 154
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Dissecting the genetic relationship between cardiovascular risk factors and Alzheimer’s disease
Broce, I. J., Tan, C. H., Fan, C. C., Jansen, I., Savage, J. E., Witoelar, A., Wen, N., Hess, C. P., Dillon, W. P., Glastonbury, C. M., et al. (2019) · Acta Neuropathologica
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 140
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Shared genetic risk between corticobasal degeneration, progressive supranuclear palsy, and frontotemporal dementia
International FTD-Genomics Consortium (IFGC), Yokoyama, J. S., Karch, C. M., Fan, C. C., Bonham, L. W., Kouri, N., Ross, O. A., Rademakers, R., Kim, J., Wang, Y., et al. (2017) · Acta Neuropathologica
Alzheimer's disease research and treatmentsParkinson's Disease Mechanisms and Treatments
Cited by 99
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Neuroimaging in Dementia
Staffaroni, A., Elahi, F., McDermott, D., Marton, K., Karageorgiou, E., Sacco, S., Paoletti, M., Caverzasi, E., Hess, C., Rosen, H., et al. (2017) · Seminars in Neurology
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 91
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Selective Genetic Overlap Between Amyotrophic Lateral Sclerosis and Diseases of the Frontotemporal Dementia Spectrum
Karch, C. M., Wen, N., Fan, C. C., Yokoyama, J. S., Kouri, N., Ross, O. A., Höglinger, G., Müller, U., Ferrari, R., Hardy, J., et al. (2018) · JAMA Neurology
Amyotrophic Lateral Sclerosis ResearchAlzheimer's disease research and treatments
Cited by 89
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Clinically feasible NODDI characterization of glioma using multiband EPI at 7 T
Wen, Q., Kelley, D. A. C., Banerjee, S., Lupo, J. M., Chang, S. M., Xu, D., Hess, C. P., & Nelson, S. J. (2015) · NeuroImage: Clinical
Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications
Cited by 88
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A DTI-based template-free cortical connectome study of brain maturation
Tymofiyeva, O., Hess, C. P., Ziv, E., Lee, P. N., Glass, H. C., Ferriero, D. M., Barkovich, A. J., & Xu, D. (2013) · PLoS ONE
Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies
Cited by 86
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The Role of Clusterin in Amyloid-β–Associated Neurodegeneration
Desikan, R. S., Thompson, W. K., Holland, D., Hess, C. P., Brewer, J. B., Zetterberg, H., Blennow, K., Andreassen, O. A., McEvoy, L. K., Hyman, B. T., et al. (2014) · JAMA Neurology
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 79
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