- Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke
Deep learning models with fine-tuning lead to better performance for predicting tissue at risk and ischemic core, outperforming conventional thresholding methods.
- Vessel Wall Enhancement on Black-Blood MRI Predicts Acute and Future Stroke in Cerebral Amyloid Angiopathy
Vessel wall enhancement is associated with both acute and future stroke in patients with cerebral amyloid angiopathy.