Enhancing performance of a computed tomography perfusion software for improved prediction of final infarct volume in acute ischemic stroke patients

Lignende værker

• Effect of computed tomography perfusion post-processing algorithms on optimal threshold selection for final infarct volume prediction
  af: Rava, Ryan A, et al.
  Udgivet: (2020)
• Assessment of a Bayesian Vitrea CT Perfusion Analysis to Predict Final Infarct and Penumbra Volumes in Patients with Acute Ischemic Stroke: A Comparison with RAPID
  af: Rava, R.A., et al.
  Udgivet: (2020)
• Investigation of convolutional neural networks using multiple computed tomography perfusion maps to identify infarct core in acute ischemic stroke patients
  af: Rava, Ryan A., et al.
  Udgivet: (2021)
• Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy
  af: Bhurwani, Mohammad Mahdi Shiraz, et al.
  Udgivet: (2021)
• Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters
  af: Rava, Ryan A., et al.
  Udgivet: (2021)