ischemic stroke
PulseAugur coverage of ischemic stroke — every cluster mentioning ischemic stroke across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New multitask pretraining framework enhances brain MR image segmentation
Researchers have developed a multitask self-supervised pretraining framework for brain MR image segmentation, combining general image inpainting with a domain-specific task of voxel-level brain age prediction. This appr…
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Machine learning models aligned with clinical guidelines for stroke outcome prediction
Researchers have developed a method to align machine learning models with clinical reasoning for predicting outcomes in ischemic stroke patients. By replacing continuous predictors with clinically informed categorical e…
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StrokeTimer uses AI to estimate ischemic stroke onset time
Researchers have developed StrokeTimer, a new framework designed to estimate the onset time of ischemic strokes using non-contrast CT scans. This method employs self-supervised disentanglement and energy-guided contrast…
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Machine learning models accelerate stroke simulation research
Researchers have explored the use of machine learning to speed up complex physics simulations for mechanical thrombectomy, a procedure used to treat ischemic stroke. They trained three surrogate models on simplified sim…
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New framework analyzes retinal vessel geometry for disease detection
Researchers have developed a new framework called BTECF to analyze retinal vessel geometry for disease detection. This framework abstracts vascular networks into Bézier segments, allowing for explicit manipulation of an…