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Automated quantitative assessment of cerebral edema after ischemic stroke using CSF volumetrics
Rajat Dhar
Institute of Clinical and Translational Sciences (ICTS)
Section of Neurocritical Care
Research output
:
Contribution to journal
›
Review article
›
peer-review
19
Scopus citations
Overview
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Keyphrases
Stroke Patients
100%
Ischemic Stroke
100%
Cerebral Edema
100%
Edema
66%
CSF Volume
66%
Large Cohort
33%
Computed Tomography
33%
Neural Network
33%
Genetic Studies
33%
Endophenotype
33%
Quantitative Biomarkers
33%
Early Prediction
33%
Lesion Volume
33%
Midline Shift
33%
Follow-up CT Scan
33%
Neurological Deterioration
33%
Clinical Deterioration
33%
Image Segmentation Algorithm
33%
Processing Image
33%
Archive Images
33%
Image Processing pipeline
33%
Neuroscience
Brain Ischemia
100%
Cerebral Edema
100%
Cerebrovascular Accident
100%
Image Processing
20%
Neural Network
20%
Endophenotype
20%
Midline Shift
20%