Multimodal manifold-regularized transfer learning for MCI conversion prediction
Published 2015 View Full Article
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Title
Multimodal manifold-regularized transfer learning for MCI conversion prediction
Authors
Keywords
Mild cognitive impairment conversion, Manifold regularization, Transfer learning, Semi-supervised learning, Multimodal classification, Sample selection
Journal
Brain Imaging and Behavior
Volume 9, Issue 4, Pages 913-926
Publisher
Springer Nature
Online
2015-02-21
DOI
10.1007/s11682-015-9356-x
References
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Note: Only part of the references are listed.- Manifold regularized multitask feature learning for multimodality disease classification
- (2014) Biao Jie et al. HUMAN BRAIN MAPPING
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- (2013) Chong-Yaw Wee et al. Brain Structure & Function
- Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification
- (2013) Biao Jie et al. HUMAN BRAIN MAPPING
- Connectome-scale assessments of structural and functional connectivity in MCI
- (2013) Dajiang Zhu et al. HUMAN BRAIN MAPPING
- Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers
- (2013) Bo Cheng et al. NEUROINFORMATICS
- Monetary Costs of Dementia in the United States
- (2013) Michael D. Hurd et al. NEW ENGLAND JOURNAL OF MEDICINE
- Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment
- (2013) Jonathan Young et al. NeuroImage-Clinical
- 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
- (2013) Xiao Da et al. NeuroImage-Clinical
- Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns
- (2012) Chong-Yaw Wee et al. HUMAN BRAIN MAPPING
- A theory of transfer learning with applications to active learning
- (2012) Liu Yang et al. MACHINE LEARNING
- Visual ratings of atrophy in MCI: prediction of conversion and relationship with CSF biomarkers
- (2012) Manja Lehmann et al. NEUROBIOLOGY OF AGING
- Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
- (2012) Eric Westman et al. NEUROIMAGE
- Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning
- (2012) Simon F. Eskildsen et al. NEUROIMAGE
- Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers
- (2012) Daoqiang Zhang et al. PLoS One
- Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease
- (2012) Pierrick Coupé et al. NeuroImage-Clinical
- Domain Transfer Multiple Kernel Learning
- (2011) Lixin Duan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features
- (2011) Yang Li et al. NEUROBIOLOGY OF AGING
- Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI)
- (2011) Roman Filipovych et al. NEUROIMAGE
- Multimodal classification of Alzheimer's disease and mild cognitive impairment
- (2011) Daoqiang Zhang et al. NEUROIMAGE
- Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data
- (2011) Youngsang Cho et al. NEUROIMAGE
- Identification of MCI individuals using structural and functional connectivity networks
- (2011) Chong-Yaw Wee et al. NEUROIMAGE
- Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
- (2011) Daoqiang Zhang et al. NEUROIMAGE
- ASL Perfusion MRI Predicts Cognitive Decline and Conversion From MCI to Dementia
- (2010) Linda L. Chao et al. ALZHEIMER DISEASE & ASSOCIATED DISORDERS
- Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
- (2010) Christos Davatzikos et al. NEUROBIOLOGY OF AGING
- Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population
- (2010) Chris Hinrichs et al. NEUROIMAGE
- Semi-supervised cluster analysis of imaging data
- (2010) Roman Filipovych et al. NEUROIMAGE
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
- (2010) Rémi Cuingnet et al. NEUROIMAGE
- Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort
- (2009) Shannon Risacher et al. Current Alzheimer Research
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- MRI and CSF biomarkers in normal, MCI, and AD subjects: Diagnostic discrimination and cognitive correlations
- (2009) P. Vemuri et al. NEUROLOGY
- MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical change
- (2009) P. Vemuri et al. NEUROLOGY
- Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆
- (2008) C MISRA et al. NEUROIMAGE
- Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease
- (2008) Kaustubh Supekar et al. PLoS Computational Biology
- Unaffected Family Members and Schizophrenia Patients Share Brain Structure Patterns: A High-Dimensional Pattern Classification Study
- (2007) Yong Fan et al. BIOLOGICAL PSYCHIATRY
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