Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly.

Abstract

Authors

• Jared M Pisapia
  Department of Neurosurgery, University of Pennsylvania, Philadelphia.
• Hamed Akbari
  Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia.
• Martin Rozycki
  Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia.
• Hannah Goldstein
  Department of Neurosurgery, Columbia University Medical Center, New York, New York.
• Spyridon Bakas
  Perelman School of Medicine, Philadelphia, PA, USA.
• Saima Rathore
  DCIS, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan; DCS&IT, University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir. Electronic address: saimarathore_2k6@yahoo.com.
• Julie S Moldenhauer
  Center for Fetal Diagnosis and Treatment, Special Delivery Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
• Phillip B Storm
  Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
• Deborah M Zarnow
  Division of Neuroradiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
• Richard C E Anderson
  Department of Neurosurgery, Columbia University Medical Center, New York, New York.
• Gregory G Heuer
  Neurosurgery, Children's Hospital of Philadelphia.
• Christos Davatzikos
  Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Keywords

External Resources