| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/neuroimage/MoradiPGHT15 |
| P356 | DOI | 10.1016/J.NEUROIMAGE.2014.10.002 |
| P932 | PMC publication ID | 5957071 |
| P698 | PubMed publication ID | 25312773 |
| P5875 | ResearchGate publication ID | 266374876 |
| P50 | author | Alzheimer's Disease Neuroimaging Initiative | Q4738819 |
| Heikki Huttunen | Q58235253 | ||
| Elaheh Moradi | Q114404270 | ||
| Christian Gaser | Q28516676 | ||
| Jussi Tohka | Q30330175 | ||
| P2093 | author name string | Antonietta Pepe | |
| P2860 | cites work | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net | Q56989667 |
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| Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data | Q34316916 | ||
| Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems | Q34446784 | ||
| Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers | Q34509040 | ||
| Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning | Q34542377 | ||
| Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population | Q34561059 | ||
| Semi-supervised pattern classification of medical images: application to mild cognitive impairment (MCI) | Q34629067 | ||
| Multimodal classification of Alzheimer's disease and mild cognitive impairment | Q34672813 | ||
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| Mild cognitive impairment: ten years later | Q34847370 | ||
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| Age correction in dementia--matching to a healthy brain | Q35136369 | ||
| Random forest-based similarity measures for multi-modal classification of Alzheimer's disease | Q36451170 | ||
| The projected effect of risk factor reduction on Alzheimer's disease prevalence | Q36825862 | ||
| MRI measures of temporoparietal regions show differential rates of atrophy during prodromal AD. | Q36958569 | ||
| Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. | Q37111598 | ||
| Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve | Q37270617 | ||
| Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers | Q37410700 | ||
| Alzheimer's disease: a review of recent developments | Q37892264 | ||
| Semi-Supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease | Q38730931 | ||
| DISEASE CLASSIFICATION AND PREDICTION VIA SEMI-SUPERVISED DIMENSIONALITY REDUCTION. | Q38731007 | ||
| Quantitative evaluation of disease progression in a longitudinal mild cognitive impairment cohort | Q39333655 | ||
| How early can we predict Alzheimer's disease using computational anatomy? | Q39377292 | ||
| Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion | Q39618253 | ||
| Fast and robust parameter estimation for statistical partial volume models in brain MRI. | Q39692738 | ||
| Interpretable whole-brain prediction analysis with GraphNet | Q41402560 | ||
| KERNEL-BASED MULTI-TASK JOINT SPARSE CLASSIFICATION FOR ALZHEIMER'S DISEASE. | Q41873336 | ||
| Total variation regularization for fMRI-based prediction of behavior | Q42012640 | ||
| The efficacy of plasma biomarkers in early diagnosis of Alzheimer's disease | Q44801837 | ||
| COMPARE: classification of morphological patterns using adaptive regional elements. | Q45965571 | ||
| A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging | Q47745897 | ||
| The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer's disease | Q48228304 | ||
| Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters | Q48346680 | ||
| Statistical approach to segmentation of single-channel cerebral MR images | Q48749287 | ||
| Development of Alzheimer-related neurofibrillary changes in the neocortex inversely recapitulates cortical myelogenesis | Q48952395 | ||
| Alzheimer's disease and the cerebellum: a morphologic study on neuronal and glial changes | Q48957210 | ||
| AddNeuroMed and ADNI: similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America | Q49041459 | ||
| Cerebral amyloid deposition and diffuse plaques in "normal" aging: Evidence for presymptomatic and very mild Alzheimer's disease | Q49103500 | ||
| Manifold population modeling as a neuro-imaging biomarker: application to ADNI and ADNI-GO. | Q50653123 | ||
| MRI-based automated computer classification of probable AD versus normal controls. | Q51889111 | ||
| Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images. | Q51958335 | ||
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | machine learning | Q2539 |
| Alzheimer's disease | Q11081 | ||
| magnetic resonance imaging | Q161238 | ||
| P1104 | number of pages | 15 | |
| P304 | page(s) | 398-412 | |
| P577 | publication date | 2014-10-12 | |
| P1433 | published in | NeuroImage | Q1981225 |
| P1476 | title | Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. | |
| P478 | volume | 104 |
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