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Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms

Authors

  • Alexander R Podgorsak Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA Canon Stroke and Vascular Research Center, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  • Ryan A Rava Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA Canon Stroke and Vascular Research Center, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  • Mohammad Mahdi Shiraz Bhurwani Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA Canon Stroke and Vascular Research Center, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  • Anusha R Chandra Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA Canon Stroke and Vascular Research Center, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  • Jason M Davies Canon Stroke and Vascular Research Center, Buffalo, New York, USA Department of Neurosurgery, University at Buffalo, State University of New York, Buffalo, New York, USA Department of Biomedical Informatics, University at Buffalo, State University of New York, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  • Adnan H Siddiqui Canon Stroke and Vascular Research Center, Buffalo, New York, USA Department of Neurosurgery, University at Buffalo, State University of New York, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  • Ciprian N Ionita Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA Canon Stroke and Vascular Research Center, Buffalo, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Ciprian N Ionita, Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA; cnionita{at}buffalo.edu
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Citation

Podgorsak AR, Rava RA, Shiraz Bhurwani MM, et al
Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms
Journal of NeuroInterventional Surgery 2020;12:417-421.

Publication history

  • Received June 18, 2019
  • Revised August 6, 2019
  • Accepted August 9, 2019
  • First published August 23, 2019.
Online issue publication 
September 11, 2020

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© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.