Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment
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Bach, 2004, Multiple kernel learning, conic duality, and the SMO algorithm, 41
Barnes, 2004, Differentiating AD from aging using semiautomated measurement of hippocampal atrophy rates, NeuroImage, 23, 574, 10.1016/j.neuroimage.2004.06.028
Beach, 2012, Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010, Journal of Neuropathology and Experimental Neurology, 71, 266, 10.1097/NEN.0b013e31824b211b
Berner, 2008, Overconfidence as a cause of diagnostic error in medicine, American Journal of Medicine, 121, S2, 10.1016/j.amjmed.2008.01.001
Bishop, 2007
Braak, 1995, Staging of Alzheimer's disease-related neurofibrillary changes, Neurobiology of Aging, 16, 271, 10.1016/0197-4580(95)00021-6
Cardoso, 2011, LoAd: a locally adaptive cortical segmentation algorithm, NeuroImage, 56, 1386, 10.1016/j.neuroimage.2011.02.013
Cardoso, 2012, Multi-STEPS: multi-label similarity and truth estimation for propagated segmentations, 153
Chu, 2010, Classification of neurodegenerative diseases using Gaussian process classification with automatic feature determination, 17
Corder, 1993, Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families, Science, 261, 921, 10.1126/science.8346443
Corder, 1994, Protective effect of apolipoprotein E type 2 allele for late onset Alzheimer disease, Nature Genetics, 7, 180, 10.1038/ng0694-180
Costafreda, 2011, Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment, NeuroImage, 56, 212, 10.1016/j.neuroimage.2011.01.050
Coupé, 2012, Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease, NeuroImage: Clinical, 1, 141, 10.1016/j.nicl.2012.10.002
Cuingnet, 2010, Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database, NeuroImage, 56, 766, 10.1016/j.neuroimage.2010.06.013
Davatzikos, 2011, Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification, Neurobiology of Aging, 32, 2322.e19, 10.1016/j.neurobiolaging.2010.05.023
Desikan, 2009, Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease, Brain, 132, 2048, 10.1093/brain/awp123
Drzezga, 2003, Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer's disease: a PET follow-up study, European Journal of Nuclear Medicine and Molecular Imaging, 30, 1104, 10.1007/s00259-003-1194-1
Eskildsen, 2013, Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning, NeuroImage, 65, 511, 10.1016/j.neuroimage.2012.09.058
Fan, 2008, Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline, NeuroImage, 39, 1731, 10.1016/j.neuroimage.2007.10.031
Ferrarini, 2009, Morphological hippocampal markers for automated detection of Alzheimer's disease and mild cognitive impairment converters in magnetic resonance images, Journal of Alzheimer's Disease, 17, 643, 10.3233/JAD-2009-1082
Ferri, 2005, Global prevalence of dementia: a Delphi consensus study, Lancet, 366, 2112, 10.1016/S0140-6736(05)67889-0
Fjell, 2010, CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease, Journal of Neuroscience, 30, 2088, 10.1523/JNEUROSCI.3785-09.2010
Fjell, 2010, Brain atrophy in healthy aging is related to CSF Levels of Aβ1-42, Cerebral Cortex, 20, 2069, 10.1093/cercor/bhp279
Fonteijn, 2012, An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease, NeuroImage, 60, 1880, 10.1016/j.neuroimage.2012.01.062
Gerardin, 2009, Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging, NeuroImage, 47, 1476, 10.1016/j.neuroimage.2009.05.036
Gousias, 2008, Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest, NeuroImage, 40, 672, 10.1016/j.neuroimage.2007.11.034
Gray, 2012, Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease, NeuroImage, 60, 221, 10.1016/j.neuroimage.2011.12.071
Hinrichs, 2011, Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population, NeuroImage, 55, 574, 10.1016/j.neuroimage.2010.10.081
Holtzman, 2011, CSF biomarkers for Alzheimer's disease: current utility and potential future use, Neurobiology of Aging, 32, S4, 10.1016/j.neurobiolaging.2011.09.003
Joshi, 2009, Reducing between scanner differences in multi-center PET studies, NeuroImage, 46, 154, 10.1016/j.neuroimage.2009.01.057
Klöppel, 2008, Automatic classification of MR scans in Alzheimer's disease, Brain, 131, 681, 10.1093/brain/awm319
Kriegeskorte, 2009, Circular analysis in systems neuroscience: the dangers of double dipping, Nature Neuroscience, 12, 535, 10.1038/nn.2303
Landau, 2010, Comparing predictors of conversion and decline in mild cognitive impairment, Neurology, 75, 230, 10.1212/WNL.0b013e3181e8e8b8
Lerch, 2008, Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls, Neurobiology of Aging, 29, 23, 10.1016/j.neurobiolaging.2006.09.013
Marquand, 2009, Probabilistic classification of functional magnetic resonance imaging (fMRI) data using Gaussian process classification: application to pain perception, NeuroImage, 47, S57, 10.1016/S1053-8119(09)70221-6
McNemar, 1947, Note on the sampling error of the difference between correlated proportions or percentages, Psychometrika, 12, 153, 10.1007/BF02295996
Minka, 2001, Expectation propagation for approximate Bayesian inference, 362
Modat, 2010, Fast free-form deformation using graphics processing units, Computer Methods and Programs in Biomedicine, 98, 278, 10.1016/j.cmpb.2009.09.002
Mosconi, 2010, Pre-clinical detection of Alzheimer's disease using FDG-PET, with or without amyloid imaging, Journal of Alzheimer's Disease, 20, 843, 10.3233/JAD-2010-091504
Nho, 2010, Automatic prediction of conversion from mild cognitive impairment to probable Alzheimer's disease using structural magnetic resonance imaging, AMIA Annual Symposium Proceedings, 2010, 542
Nickisch, 2008, Approximations for binary Gaussian process classification, Journal of Machine Learning Research, 9, 2035
Petersen, 1999, Mild cognitive impairment: clinical characterization and outcome, Archives of Neurology, 56, 303, 10.1001/archneur.56.3.303
Querbes, 2009, Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve, Brain, 132, 2036, 10.1093/brain/awp105
Rasmussen, 2006
Robert, 2012, Engineered antibody approaches for Alzheimer's disease immunotherapy, Archives of Biochemistry and Biophysics, 526, 132, 10.1016/j.abb.2012.02.022
Rowe, 2010, Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging, Neurobiology of Aging, 31, 1275, 10.1016/j.neurobiolaging.2010.04.007
Singh, 2012, Genetic, structural and functional imaging biomarkers for early detection of conversion from MCI to AD, vol. 7510, 132
Vemuri, 2008, Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies, NeuroImage, 39, 1186, 10.1016/j.neuroimage.2007.09.073
Vemuri, 2009, MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change, Neurology, 73, 294, 10.1212/WNL.0b013e3181af79fb
Vounou, 2012, Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease, NeuroImage, 60, 700, 10.1016/j.neuroimage.2011.12.029
Walhovd, 2010, Combining MR imaging, positron-emission tomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease, American Journal of Neuroradiology, 31, 347, 10.3174/ajnr.A1809
Warfield, 2004, Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation, IEEE Transactions on Medical Imaging, 23, 903, 10.1109/TMI.2004.828354
Wee, 2012, Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns, Human Brain Mapping
Ye, 2012, Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data, BMC Neurology, 12, 46, 10.1186/1471-2377-12-46
Young, 2012, Classification of Alzheimer's disease patients and controls with Gaussian processes, 1523
Yuan, 2012, Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data, NeuroImage, 61, 622, 10.1016/j.neuroimage.2012.03.059