标题
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
作者
关键词
-
出版物
Scientific Reports
Volume 9, Issue 1, Pages -
出版商
Springer Nature
发表日期
2019-02-13
DOI
10.1038/s41598-018-37769-z
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
- (2018) Donghuan Lu et al. Scientific Reports
- Multivariate Data Analysis and Machine Learning in Alzheimer's Disease with a Focus on Structural Magnetic Resonance Imaging
- (2018) Farshad Falahati et al. JOURNAL OF ALZHEIMERS DISEASE
- Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease
- (2017) Meiyan Huang et al. Scientific Reports
- Using recurrent neural network models for early detection of heart failure onset
- (2016) Edward Choi et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans
- (2015) Andrew J. Saykin et al. Alzheimers & Dementia
- 2015 Alzheimer's disease facts and figures
- (2015) Alzheimers & Dementia
- Domain Transfer Learning for MCI Conversion Prediction
- (2015) Bo Cheng et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Methods of integrating data to uncover genotype–phenotype interactions
- (2015) Marylyn D. Ritchie et al. NATURE REVIEWS GENETICS
- Locally linear embedding (LLE) for MRI based Alzheimer's disease classification
- (2013) Xin Liu et al. NEUROIMAGE
- Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment
- (2013) Jonathan Young et al. NeuroImage-Clinical
- Voxel and surface-based topography of memory and executive deficits in mild cognitive impairment and Alzheimer’s disease
- (2012) Kwangsik Nho et al. Brain Imaging and Behavior
- Regional Magnetic Resonance Imaging Measures for Multivariate Analysis in Alzheimer’s Disease and Mild Cognitive Impairment
- (2012) Eric Westman et al. BRAIN TOPOGRAPHY
- Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns
- (2012) Chong-Yaw Wee et al. HUMAN BRAIN MAPPING
- Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers
- (2012) Daoqiang Zhang et al. PLoS One
- Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Clifford R. Jack et al. Alzheimers & Dementia
- Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Reisa A. Sperling et al. Alzheimers & Dementia
- The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease
- (2011) Marilyn S. Albert et al. Alzheimers & Dementia
- 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
- Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
- (2011) Daoqiang Zhang et al. NEUROIMAGE
- Predicting MCI outcome with clinically available MRI and CSF biomarkers
- (2011) D. Heister et al. NEUROLOGY
- Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease
- (2011) Robin Wolz et al. PLoS One
- Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
- (2010) Andrew J. Saykin et al. Alzheimers & Dementia
- 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
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