A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata

Kimberly Amador, Noah Pinel, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert

Abstract: Highlights•Integration of 4D CTP and clinical metadata to predict clinical stroke outcomes.•Novel multimodal fusion strategy using a cross-attention mechanism.•Using both data modalities leads to better results than single-modality models.•Proposed multimodal model outperforms conventional late fusion approaches.