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Wim H. van Zwam
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autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients


Oct 06, 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

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Figure 1 for autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
Figure 2 for autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
Figure 3 for autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
Figure 4 for autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
* 10 pages; submitted to IEEE TMI 
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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning


Dec 06, 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

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Figure 1 for Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
Figure 2 for Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
Figure 3 for Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
Figure 4 for Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
* Submitted to Medical Image Analysis 
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