Stefano Moriconi
Biomedical Engineer at Politecnico di Milano, jr. Research Fellow at the Italian National Research Council, PhD in Medical Physics and Biomedical Engineering at University College London, now Research Associate at King’s College London - School of Biomedical Engineering & Imaging Sciences.
Current research topics: neuro-vascular image analysis and AI-enabled neurology (stroke).
Scientific and research interests: multi-modal image processing and tensor synthesis; geodesic vascular segmentation, delineation and connectivity; vascular trees and spatial graphs; topological registration and graph-matching; vascular biomarkers from lumped-parameter network simulations and bio-mechanical solid modelling.
Other interests: computer graphics (CGI) and scientific visualisation.
Three (JavaScript) example
Projects
Neurology - StrokeBiomechanical Modelling
Publications
Towards Quantifying Neurovascular Resilience
Moriconi, S., Zuluaga, M.A., Jäger, H.R., Nachev, P., Ourselin, S. and Cardoso, M.J., 2018. IEEE transactions on medical imaging, 38(1), pp.225-239.
Inference of cerebrovascular topology with geodesic minimum spanning trees
Moriconi, S., Zuluaga, M.A., Jäger, H.R., Nachev, P., Ourselin, S. and Cardoso, M.J., 2018. IEEE transactions on medical imaging, 38(1), pp.225-239.
Elastic registration of geodesic vascular graphs
Moriconi, S., Zuluaga, M.A., Jäger, H.R., Nachev, P., Ourselin, S. and Cardoso, M.J., 2018, September. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 810-818). Springer, Cham.
VTrails: Inferring vessels with geodesic connectivity trees
Moriconi, S., Zuluaga, M.A., Jäger, H.R., Nachev, P., Ourselin, S. and Cardoso, M.J., 2017, June. In International Conference on Information Processing in Medical Imaging (pp. 672-684). Springer, Cham.