Multimodal Imaging

Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings
Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings

By implementing clinically-informed preprocessing, we significantly improve upon the state-of-the art segmentation model, trained with datasets avalilable in low-resource settings.

Aug 15, 2025

ISLES’24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
ISLES’24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?

The ISLES’24 challenge establishes the first standardized benchmark for multimodal, post-treatment infarct prediction in ischemic stroke, providing a unique dataset and systematic evaluation of state-of-the-art models.

Jul 7, 2025