CARAVEL paper accepted at MICCAI 2026
Our latest work on cerebrovascular tree reconstruction has been accepted.
Read moreCARAVEL develops reliable AI methods to extract, model and analyse the brain vessel tree across multiple imaging scales.
CARAVEL studies the cerebrovascular system using advanced imaging and trustworthy AI to extract, model and analyse brain vessel trees across multiple spatial scales.
Illustration coming soon
Building structured, multi-scale representations of the cerebrovascular network that capture its complexity and connectivity across imaging modalities.
Developing robust, trustworthy AI methods to detect, segment and model the brain vessel tree from neurovascular images.
Constructing a spatio-temporal atlas of the cerebral vascular system to capture anatomical variability across scales and populations.
Translating CARAVEL's methods into tools that support clinical decision-making and neurovascular risk assessment.
Releasing open datasets, code and benchmarks so the research community can validate, reuse and build on CARAVEL's results.
Name of the conference (e.g. MICCAI 2026)
Name of the journal
arXiv preprint
A multidisciplinary team working together to advance the understanding of the brain vessel tree through imaging and computational methods.
Professor at EURECOM and Affiliate Faculty in the School of Biomedical Engineering & Imaging Sciences at King's College London.
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