The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research

Keyphrases

• Neuroimaging 100%
• Imaging Phenotypes 100%
• Stroke Research 100%
• Open Data Science 100%
• Data Science Tools 100%
• Stroke Patients 50%
• Clinical Features 33%
• Clinical Data 33%
• Ischemic Stroke 33%
• Imaging Data 33%
• Containerized 33%
• Demographic Characteristics 16%
• Patient Outcomes 16%
• Deep Learning 16%
• Knowledge Gaps 16%
• Computed Tomography 16%
• Genomic Data 16%
• Disease Burden 16%
• Stroke Pathophysiology 16%
• Genetic Factors 16%
• Image Data 16%
• Leading Causes of Death 16%
• Clinical Investigator 16%
• Image Features 16%
• Hemorrhagic Stroke 16%
• Specific Features 16%
• Cerebral Edema 16%
• Disease-specific 16%
• Preclinical Imaging 16%
• Genomic Features 16%
• Brain Imaging 16%
• Stroke Subtypes 16%
• Imaging Characteristics 16%
• Cause of Disability 16%
• Modified Rankin Scale 16%
• Drug Discovery 16%
• Imaging Genomics 16%
• Imaging Informatics 16%
• Informatic Platforms 16%
• Computational Methods 16%
• Clinical Genomics 16%
• Clinical Image 16%
• Magnetic Resonance Imaging Scan 16%
• Big Data Approach 16%
• Washington 16%
• Biological Factors 16%
• Spain 16%
• Stroke Severity 16%
• Tissue Compartments 16%
• Processing pipeline 16%
• NIH Stroke Scale 16%
• Finland 16%
• Stroke Outcome 16%
• Stroke Imaging 16%
• Brain Computed Tomography Scan 16%
• Data Scientist 16%
• CSF Volume 16%
• Image Processing pipeline 16%
• Stroke Progression 16%
• Image Archive 16%
• Poland 16%
• Deep Phenotyping 16%
• Drug Evaluation 16%
• TOAST Classification 16%
• Collaborative Platform 16%
• DICOM Header 16%
• Large-scale Integration 16%

Computer Science

• Clinical Data 100%
• Open Data 100%
• Imaging Phenotype 100%
• Science Platform 100%
• Big Data 50%
• Computational Method 50%
• Open Source 50%
• Image Processing 50%
• Data Model 50%
• Broader Understanding 50%
• Data Scientist 50%
• Related Injury 50%
• Scale Integration 50%
• Clinical Feature 50%
• Genetic Factor 50%
• Research Project 50%
• Deep Learning Method 50%