标题
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
作者
关键词
Alzheimer’s disease (AD), Mild cognitive impairment (MCI), Multi-modal classification, Deep learning, Latent feature representation
出版物
Brain Structure & Function
Volume 220, Issue 2, Pages 841-859
出版商
Springer Nature
发表日期
2013-12-21
DOI
10.1007/s00429-013-0687-3
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
- (2013) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 2012 Alzheimer’s disease facts and figures
- (2012) Alzheimers & Dementia
- An investigation of PreMCI: Subtypes and longitudinal outcomes
- (2012) David A. Loewenstein et al. Alzheimers & Dementia
- A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
- (2012) Heung-Il Suk et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
- (2012) Lei Yuan et al. NEUROIMAGE
- Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
- (2012) Eric Westman et al. NEUROIMAGE
- Ensemble sparse classification of Alzheimer's disease
- (2012) Manhua Liu et al. NEUROIMAGE
- Random forest-based similarity measures for multi-modal classification of Alzheimer's disease
- (2012) Katherine R. Gray et al. NEUROIMAGE
- A Longitudinal Study of Atrophy in Amnestic Mild Cognitive Impairment and Normal Aging Revealed by Cortical Thickness
- (2012) Zhijun Yao et al. PLoS One
- Unsupervised learning of hierarchical representations with convolutional deep belief networks
- (2011) Honglak Lee et al. COMMUNICATIONS OF THE ACM
- Density-Based Multifeature Background Subtraction with Support Vector Machine
- (2011) Bohyung Han et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multimodal classification of Alzheimer's disease and mild cognitive impairment
- (2011) Daoqiang Zhang 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
- Identification of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Multivariate Predictors
- (2011) Yue Cui et al. PLoS One
- Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures
- (2011) Luping Zhou et al. PLoS One
- Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease
- (2010) K.B. Walhovd et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- The use of PET in Alzheimer disease
- (2010) Agneta Nordberg et al. Nature Reviews Neurology
- Boosting power for clinical trials using classifiers based on multiple biomarkers
- (2010) Omid Kohannim et al. NEUROBIOLOGY OF AGING
- Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline
- (2010) J. Nettiksimmons et al. NEUROBIOLOGY OF AGING
- Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
- (2010) Christos Davatzikos et al. NEUROBIOLOGY OF AGING
- Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance
- (2010) Michael Ewers et al. NEUROBIOLOGY OF AGING
- ABSORB: Atlas building by self-organized registration and bundling
- (2010) Hongjun Jia et al. NEUROIMAGE
- Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population
- (2010) Chris Hinrichs et al. NEUROIMAGE
- Enriched white matter connectivity networks for accurate identification of MCI patients
- (2010) Chong-Yaw Wee et al. NEUROIMAGE
- Cerebrospinal Fluid β-Amyloid 42 and Tau Proteins as Biomarkers of Alzheimer-Type Pathologic Changes in the Brain
- (2009) Tero Tapiola et al. ARCHIVES OF NEUROLOGY
- Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease
- (2009) R. S. Desikan et al. BRAIN
- White matter damage in frontotemporal dementia and Alzheimer's disease measured by diffusion MRI
- (2009) Y. Zhang et al. BRAIN
- Multimodal techniques for diagnosis and prognosis of Alzheimer's disease
- (2009) Richard J. Perrin et al. NATURE
- RABBIT: Rapid alignment of brains by building intermediate templates
- (2009) Songyuan Tang et al. NEUROIMAGE
- Neural correlates of Alzheimer's disease and mild cognitive impairment: A systematic and quantitative meta-analysis involving 1351 patients
- (2009) Matthias L. Schroeter et al. NEUROIMAGE
- Medial temporal lobe atrophy on MRI differentiates Alzheimer's disease from dementia with Lewy bodies and vascular cognitive impairment: a prospective study with pathological verification of diagnosis
- (2008) E. J. Burton et al. BRAIN
- Automatic classification of MR scans in Alzheimer's disease
- (2008) S. Kloppel et al. BRAIN
- The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals
- (2008) Bradford C. Dickerson et al. CEREBRAL CORTEX
- Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias
- (2008) L. Mosconi et al. JOURNAL OF NUCLEAR MEDICINE
- Diffeomorphic demons: Efficient non-parametric image registration
- (2008) Tom Vercauteren et al. NEUROIMAGE
- Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
- (2007) B AVANTS et al. MEDICAL IMAGE ANALYSIS
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