The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Bias in error estimation when using cross-validation for model selection
Varma, S., & Simon, R. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-91 · Cited by 2,485 · cited 1×
“Note that for obtaining true unbiased estimates of the error, it is necessary to run the feature reduction step inside the CV loop, so that the CV error is representative of the true error (Varma and Simon, 2006).”
BackgroundProfound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 1×
“Degenerative histological changes occur long before the disease is clinically detectable (Gomez-Isla et al., 1996), perhaps decades, and thus imaging can be expected to help identify the early onset.”
BackgroundPrediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Self-citationEvans, D. A. (1989) · JAMA · doi:10.1001/jama.1989.03430180093036 · Cited by 1,226 · cited 2×
“Based on the estimates in Evans et al. (1989), an average of 18.7% and 47.2% of the general population at an age of 75–85 years and N85 years, respectively, have AD.”
BackgroundInfluentialKatzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988) · Annals of Neurology · doi:10.1002/ana.410230206 · Cited by 1,225 · cited 1×
“…and up to 30% of CN subjects will have enough AD pathology at postmortem to qualify for a pathological diagnosis of AD (Crystal et al., 1993; Hulette et al., 1998; Jicha et al., 2006; Katzman et al., 1988; Knopman et al., 2003; Morris and Price, 2001; Riley et al., 2002; Schmitt et al., 2000).”
BackgroundMedial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Self-citationMorris, J. C., & Price, J. L. (2001) · Journal of Molecular Neuroscience · doi:10.1385/jmn:17:2:101 · Cited by 513
Cited by
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Self-citationThe clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113
Self-citationBuilding better biomarkers: brain models in translational neuroimaging
Woo, C.-W., Chang, L. J., Lindquist, M. A., & Wager, T. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4478 · Cited by 1,056
Orrù, G., Pettersson-Yeo, W., Marquand, A. F., Sartori, G., & Mechelli, A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.01.004 · Cited by 1,012
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Arbabshirani, M. R., Plis, S., Sui, J., & Calhoun, V. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.079 · Cited by 912
Metadata
- Authors
- Vemuri, P., Gunter, J. L., Senjem, M. L., Whitwell, J. L., Kantarci, K., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 39
- Issue
- 3
- Pages
- 1186-1197
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1987011701
- Cited by
- 454
- References
- 17
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies. https://app.cochat.ai/papers/10.1016/j.neuroimage.2007.09.073
- The paper
- Vemuri, P., Gunter, J. L., Senjem, M. L., Whitwell, J. L., Kantarci, K., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R. (2008). Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies. NeuroImage. https://doi.org/10.1016/j.neuroimage.2007.09.073
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
