DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy.

Abstract

Authors

• Brendan Kelly
  A2A Pharmaceuticals, Cambridge, MA, United States.
• Mesha Martinez
  Department of Clinical Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
• Huy Do
  Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
• Joel Hayden
  St. Joseph Mercy, Phoenix, USA.
• Yuhao Huang
  Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA. yhhuang@stanford.edu.
• Vivek Yedavalli
  Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
• Chang Ho
  Department of Clinical Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
• Pearse A Keane
  National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
• Ronan Killeen
  Department of Radiology, St Vincent's University Hospital, Elm Park, Dublin 4, Ireland.
• Aonghus Lawlor
  Insight SFI Centre for Data Analytics, University College Dublin, Dublin, Ireland.
• Michael E Moseley
  Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
• Kristen W Yeom
  Department of Radiology, Stanford University, Stanford, California, United States of America.
• Edward H Lee
  Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, H3630, Stanford, CA, 94305.

Keywords

External Resources