CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography

no code implementations • 3 Aug 2022 • Ruisheng Su, P. Matthijs van der Sluijs, Yuan Chen, Sandra Cornelissen, Ruben van den Broek, Wim H. van Zwam, Aad van der Lugt, Wiro Niessen, Danny Ruijters, Theo van Walsum

Further, it falls short in effectively separating arteries and veins as it disregards the temporal perspectives inherent in DSA.

Decision Making Segmentation

autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients

no code implementations • 3 Oct 2020 • Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs, Adriaan C. G. M. van Es, Wim H. van Zwam, Diederik W. J. Dippel, Geert Lycklama, Pieter Jan van Doormaal, Wiro J. Niessen, Aad van der Lugt, Theo van Walsum

Finally, we quantify the autoTICI score as the ratio of reperfused pixels after EVT.

Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

no code implementations • 6 Dec 2018 • David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens

CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke.