Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data
Published 2021 View Full Article
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Title
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume 44, Issue 10, Pages 6839-6853
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-06-23
DOI
10.1109/tpami.2021.3091214
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- Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala
- (2016) Christian Wachinger et al. BRAIN
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- A 12-step user guide for analyzing voxel-wise gray matter asymmetries in statistical parametric mapping (SPM)
- (2015) Florian Kurth et al. Nature Protocols
- Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion
- (2014) Kim-Han Thung et al. NEUROIMAGE
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- (2014) Heung-Il Suk et al. NEUROIMAGE
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- Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
- (2012) Lei Yuan et al. NEUROIMAGE
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- (2012) Bruce Fischl NEUROIMAGE
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- 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
- The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease
- (2009) Kathryn A Ellis et al. INTERNATIONAL PSYCHOGERIATRICS
- The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods
- (2008) Clifford R. Jack et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
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