Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma
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Open Access
- 23 March 2025
- journal article
- Published by Elsevier in EBioMedicine
- Vol. 114, 105663
Abstract
No abstract availableKeywords
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)
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