Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Abstract

Authors

• Mohammad Mahdi Shiraz Bhurwani
  Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA.
• Muhammad Waqas
  Department of Botanical and Environmental Science, Kohat University of Science and Technology, Kohat, 26000, Khyber Pakhtunkhwa, Pakistan.
• Alexander R Podgorsak
  Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA.
• Kyle A Williams
  Canon Stroke and Vascular Research Center, Buffalo, New York, USA.
• Jason M Davies
  Philip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco.
• Kenneth Snyder
  Canon Stroke and Vascular Research Center, Buffalo, New York, USA.
• Elad Levy
  Canon Stroke and Vascular Research Center, Buffalo, New York, USA.
• Adnan Siddiqui
  Canon Stroke and Vascular Research Center, Buffalo, New York, USA.
• Ciprian N Ionita
  Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA.

Keywords

External Resources