Accuracy of dementia diagnosis—a direct comparison between radiologists and a computerized method
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Nick C Fox | Richard S. J. Frackowiak | C. Jack | J. Ashburner | C. Good | R. Frackowiak | J. Barnes | C. Chu | I. Mader | S. Klöppel | C. Stonnington | F. Chen | L. A. Mitchell | Ameet C Patel | C. Roberts
[1] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[2] S. M. Sumi,et al. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) , 1991, Neurology.
[3] John Q. Trojanowski,et al. Consensus Recommendations for the Postmortem Diagnosis of Alzheimer’s Disease , 1997, Neurobiology of Aging.
[4] J. Trojanowski,et al. Editorial on Consensus Recommendations for the Postmortem Diagnosis of Alzheimer Disease from the National Institute on Aging and the Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer Disease , 1997, Journal of neuropathology and experimental neurology.
[5] R. Newcombe. Two-sided confidence intervals for the single proportion: comparison of seven methods. , 1998, Statistics in medicine.
[6] R. Faber,et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. , 1999, Neurology.
[7] B Miller,et al. Clinical and pathological diagnosis of frontotemporal dementia: report of the Work Group on Frontotemporal Dementia and Pick's Disease. , 2001, Archives of neurology.
[8] B. Miller,et al. CME Practice parameter : Diagnosis of dementia ( an evidence-based review ) Report of the Quality Standards Subcommittee of the American Academy of Neurology , 2001 .
[9] Frederik Barkhof,et al. Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion , 2002, The Lancet Neurology.
[10] Nick C Fox,et al. Neuroimaging tools to rate regional atrophy, subcortical cerebrovascular disease, and regional cerebral blood flow and metabolism: consensus paper of the EADC , 2003, Journal of neurology, neurosurgery, and psychiatry.
[11] D. Spencer,et al. Practice parameter: Temporal lobe and localized neocortical resections for epilepsy: Report of the Quality Standards Subcommittee of the American Academy of Neurology, in Association with the American Epilepsy Society and the American Association of Neurological Surgeons , 2003, Neurology.
[12] Nick C Fox,et al. Computer-assisted imaging to assess brain structure in healthy and diseased brains , 2003, The Lancet Neurology.
[13] Dinggang Shen,et al. Morphological classification of brains via high-dimensional shape transformations and machine learning methods , 2004, NeuroImage.
[14] C. Jack,et al. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD , 2004, Neurology.
[15] Gunhild Waldemar,et al. Evidence-based Evaluation of Magnetic Resonance Imaging as a Diagnostic Tool in Dementia Workup , 2005, Topics in magnetic resonance imaging : TMRI.
[16] C. Jack,et al. Alzheimer's Disease Neuroimaging Initiative , 2008 .
[17] Maximilian Reiser,et al. Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment , 2007, NeuroImage.
[18] James Butcher,et al. Alzheimer's researchers open the doors to data sharing , 2007, The Lancet Neurology.
[19] Ferath Kherif,et al. Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls , 2007, NeuroImage.
[20] Stefan J. Teipel,et al. Novel MRI techniques in the assessment of dementia , 2008, European Journal of Nuclear Medicine and Molecular Imaging.
[21] Maximilian Reiser,et al. Multivariate network analysis of fiber tract integrity in Alzheimer’s disease , 2007, NeuroImage.
[22] Nick C. Fox,et al. A plea for confidence intervals and consideration of generalizability in diagnostic studies , 2008, Brain.
[23] Nick C Fox,et al. Automatic classification of MR scans in Alzheimer's disease. , 2008, Brain : a journal of neurology.
[24] Clifford R. Jack,et al. Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies , 2008, NeuroImage.
[25] S. Resnick,et al. Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging , 2008, Neurobiology of Aging.
[26] X. Wu,et al. Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI , 2008, NeuroImage.
[27] et al.,et al. Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline , 2008, NeuroImage.
[28] Ronald C Petersen,et al. Detection of prodromal Alzheimer's disease , 2008, Annals of neurology.