Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma

Authors:

Top Cited Papers
Open Access
Abstract
No abstract available
Funding Information
  • Winship Cancer Institute (P30CA138292)
  • National Cancer Institute (U01CA113913)
  • National Cancer Institute (U54CA254566-01)
  • National Cancer Institute (R01CA208236-01A1)
  • National Cancer Institute (R01CA216579-01A1)
  • National Cancer Institute (R01CA249992-01A1)
  • National Cancer Institute (R01CA257612-01A1)
  • National Cancer Institute (U01CA239055\u201301)
  • National Cancer Institute (R01CA220581-01A1)
  • National Cancer Institute (R01CA202752-01A1)
  • National Cancer Institute (U01CA248226\u201301)
  • National Institute of Biomedical Imaging and Bioengineering (R43EB028736-01)
  • National Institutes of Health
  • American Cancer Society
  • Bristol-Myers Squibb
  • Biomedical Laboratory Research and Development, VA Office of Research and Development
  • Boehringer Ingelheim
  • U.S. Department of War (W81XWH-22-1-0236)
  • National Center for Research Resources (C06 RR12463-01)
  • National Center for Research Resources (IBX004121A)
  • National Heart, Lung, and Blood Institute (R01HL158071-01A1)
  • National Heart, Lung, and Blood Institute (R01HL151277-01A1)
  • Radiological Society of North America
  • DOD Prostate Cancer Research Program (W81XWH-20-1-0851)
  • DOD Prostate Cancer Research Program (W81XWH-15-1-0558)

This publication has 76 references indexed in Scilit: