Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 01, 2022
Source ID
10.1148/radiol.212181

Entities

People

  • Adam R. Ferguson
  • Ann-christine Duhaime
  • Ava M. Puccio
  • Brandon Foreman
  • C. Dirk Keene
  • Christopher Madden
  • David O. Okonkwo
  • David Schnyer
  • Dooman Arefan
  • Enyinna Nwachuku
  • Esther Yuh
  • Jason Barber
  • John K. Yue
  • Kerri Hochberger
  • Laura B. Ngwenya
  • Matthew Pease
  • Michael McCrea
  • Nancy R Temkin
  • Neeraj Badjatia
  • On Behalf Of Track-tbi Investigators
  • Pratik Mukherjee
  • Raquel C Gardner
  • Sabrina R. Taylor
  • Shandong Wu
  • Shankar Gopinath
  • Souvik Roy
  • Stephanie M Casillo
  • V. Ramana Feeser
  • Yelena Bodien

Organizations

  • Abbott Laboratories
  • Baylor College of Medicine
  • Massachusetts General Hospital
  • Medical College of Wisconsin
  • National Cancer Institute
  • National Institute of Neurological Disorders and Stroke
  • National Institutes of Health
  • National Science Foundation
  • Radiological Society of North America
  • United States Department of Defense
  • University of California, San Francisco
  • University of Cincinnati
  • University of Maryland
  • University of Texas Southwestern Medical Center
  • University of Texas at Austin
  • University of Washington
  • Virginia Commonwealth University

Tags

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks