about
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation.Landmark-based deep multi-instance learning for brain disease diagnosis.Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion.Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism.Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.Infant Brain Development Prediction with Latent Partial Multi-View Representation LearningChained regularization for identifying brain patterns specific to HIV infection3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor PatientsMulti-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal NeuroimagesMaximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging DataProgressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder DiseaseFeature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's DiseaseMulti-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging dataDeep Multi-Task Multi-Channel Learning for Joint Classification and Regression of Brain StatusStability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image SegmentationSemi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-NoisesSemi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease DiagnosisJoint Sparse and Low-Rank Regularized MultiTask Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete DataJoint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease DiagnosisCascaded MultiTask 3-D Fully Convolutional Networks for Pancreas SegmentationSwitching Structured Prediction for Simple and Complex Human Activity RecognitionHigh-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image SegmentationNovel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals
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description
researcher ORCID ID = 0000-0002-0579-7763
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wetenschapper
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name
Ehsan Adeli
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Ehsan Adeli
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Ehsan Adeli
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Ehsan Adeli
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type
label
Ehsan Adeli
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Ehsan Adeli
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Ehsan Adeli
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Ehsan Adeli
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prefLabel
Ehsan Adeli
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Ehsan Adeli
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Ehsan Adeli
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Ehsan Adeli
@nl
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0000-0002-0579-7763