Browse by UCL people
Group by: Type | Date
Number of items: 5.
Article
Moriconi, S;
Rehwald, R;
Zuluaga, MA;
Jäger, HR;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2019)
Towards Quantifying Neurovascular Resilience.
Lecture Notes in Computer Science
, 11794
pp. 149-157.
10.1007/978-3-030-33327-0_18.
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Moriconi, S;
Zuluaga, MA;
Jager, HR;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2019)
Inference of Cerebrovascular Topology with Geodesic Minimum Spanning Trees.
IEEE Transactions on Medical Imaging
, 38
(1)
pp. 225-239.
10.1109/TMI.2018.2860239.
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Proceedings paper
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Moriconi, S;
Zuluaga, MA;
Jäger, HR;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2018)
Elastic registration of geodesic vascular graphs.
In: Frangi, A and Schnabel, JA and Davatzikos, C and Alberola-López, C, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
(pp. pp. 810-818).
Springer: Cham, Switzerland.
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Moriconi, S;
Zuluaga, MA;
Jäger, HR;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2017)
VTrails: Inferring vessels with geodesic connectivity trees.
In: Niethammer, M and Styner, M and Aylward, S and Zhu, H and Oguz, I and Yap, PT and Shen, D, (eds.)
Information Processing in Medical Imaging.
(pp. pp. 672-684).
Springer: Cham, Switzerland.
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Thesis
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Moriconi, Stefano;
(2020)
Inferring Geodesic Cerebrovascular Graphs: Image Processing, Topological Alignment and Biomarkers Extraction.
Doctoral thesis (Ph.D), UCL (University College London).
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