Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge.

Abstract

Authors

• Arsany Hakim
  University Institute of Diagnostic and Interventional Neuroradiology, Bern University Hospital, Inselspital (A.H., R.W.), University of Bern, Switzerland.
• Soren Christensen
  1 Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA.
• Stefan Winzeck
  University Division of Anaesthesia, Department of Medicine, University of Cambridge, United Kingdom (S.W.).
• Maarten G Lansberg
  1 Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA.
• Mark W Parsons
  5 Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia.
• Christian Lucas
  Institute of Medical Informatics, University of Lübeck, Germany (C.L.).
• David Robben
  Medical Imaging Research Center (MIRC), KU Leuven, Leuven, Belgium; Medical Image Computing (MIC), ESAT-PSI, Department of Electrical Engineering, KU Leuven, Leuven, Belgium; Icometrix, Leuven, Belgium. Electronic address: david.robben@kuleuven.be.
• Roland Wiest
  Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
• Mauricio Reyes
  Center for Artificial Intelligence in Medicine, University of Bern, Bern, Switzerland.
• Greg Zaharchuk
  Stanford University, Stanford CA 94305, USA.

Keywords

External Resources