6 papers
X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA
Maedeh Hafezi Moghadas, Hakim Baazaoui, Lukas Bastian Otto +3
Digital subtraction angiography (DSA) is the reference standard for leptomeningeal collateral (LMC) assessment, providing critical prognostic insights to guide secondary treatment…
Estimating Individualized Treatment Effects in Acute Ischemic Stroke with Causal Transformation Models (TRAM-DAG): A Multi-Centre Observational Study with External RCT Validation
Lisa Herzog, Oliver Dürr, Pascal Bühler +4
Personalized medicine in acute ischemic stroke requires moving beyond average treatment effects (ATE) to individualized treatment effect (ITE) estimates to support treatment decisi…
Leptomeningeal Collateral Detection on DSA via Vessel-Graph Neural Networks
Junyong Cao, Hakim Baazaoui, Chinmay Prabhakar +5
Leptomeningeal collaterals (LMCs) are an important prognostic factor in acute ischemic stroke. Existing automated methods rely on CT angiography (CTA), but individual LMCs are ofte…
Explainability in mulimodal deep transformation models for stroke outcome prediction
Lisa Herzog, Jonas Brändli, Maurice Schneeberger +7
Multimodal prediction models based on imaging and clinical data are increasingly used for clinical decision support, yet their interpretability remains limited. We present multimod…
ISLES'24 -- A Real-World Longitudinal Multimodal Stroke Dataset
Evamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran +18
Stroke remains a leading cause of global morbidity and mortality, imposing a heavy socioeconomic burden. Advances in endovascular reperfusion therapy and CT and MR imaging for trea…
ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
Ezequiel de la Rosa, Ruisheng Su, Mauricio Reyes +37
Accurate estimation of brain infarction (i.e., irreversibly damaged tissue) is critical for guiding treatment decisions in acute ischemic stroke. Reliable infarct prediction inform…