Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma is a research paper published in EBioMedicine (2025). On theSindex it has a DataRank of 0.546. It has been cited 37 times.
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Base Score Contribution
0.546
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Winship Cancer Institute
Grant: P30CA138292
National Cancer Institute
Grant: U01CA113913
National Cancer Institute
Grant: U54CA254566-01
National Cancer Institute
Grant: R01CA208236-01A1
National Cancer Institute
Grant: R01CA216579-01A1
National Cancer Institute
Grant: R01CA249992-01A1
National Cancer Institute
Grant: R01CA257612-01A1
National Cancer Institute
Grant: U01CA239055\u201301
National Cancer Institute
Grant: R01CA220581-01A1
National Cancer Institute
Grant: R01CA202752-01A1
National Cancer Institute
Grant: U01CA248226\u201301
National Institute of Biomedical Imaging and Bioengineering
Grant: R43EB028736-01
U.S. Department of Defense
Grant: W81XWH-22-1-0236
National Center for Research Resources
Grant: C06 RR12463-01
National Center for Research Resources
Grant: IBX004121A
National Heart, Lung, and Blood Institute
Grant: R01HL158071-01A1
National Heart, Lung, and Blood Institute
Grant: R01HL151277-01A1
DOD Prostate Cancer Research Program
Grant: W81XWH-20-1-0851
DOD Prostate Cancer Research Program
Grant: W81XWH-15-1-0558
NCI NIH HHS
Grant: R01 CA220581
National Institutes of Health
Grant: 1R01CA249992-01A1
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National Institutes of Health
Grant: 5U54CA254566-02
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National Institutes of Health
Grant: 5R01CA220581-05
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal Carcinoma
National Institutes of Health
Grant: 1R01HL158071-01A1
RADIOMIC APPROACHES TO IMPROVE TARGETING FOR ATRIAL FIBRILLATION CATHETER ABLATION
National Institutes of Health
Grant: 5R01CA208236-02
MR Fingerprinting and Computerized Decision Support for Prostate Cancer
National Institutes of Health
Grant: 1R01HL151277-01A1
Computer-Assisted Histologic Evaluation of Cardiac Allograft Rejection
National Institutes of Health
Grant: 5P30CA138292-11
Winship Cancer Institute Cancer Center Support Grant
National Institutes of Health
Grant: 5U01CA239055-02
HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification
National Institutes of Health
Grant: 5U01CA248226-03
RadxTools for assessing tumor treatment response on imaging
National Institutes of Health
Grant: 5U01CA113913-10
Harvard/Michigan/Cornell Prostate Cancer Biomarker Clinical Validation Center
National Institutes of Health
Grant: 1C06RR012463-01
BIOMEDICAL ENGINEERING RESEARCH FACILITIES
National Institutes of Health
Grant: 1R01CA257612-01A1
Novel Radiomics for Predicting Response to Immunotherapy for Lung Cancer
National Institutes of Health
Grant: 3UL1TR002548-03S1
Clinical and Translational Science Collaborative of Cleveland
National Institutes of Health
Grant: 1R43EB028736-01
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National Institutes of Health
Grant: 5R01CA202752-05
Computerized histologic image predictor of cancer outcome
Radiological Society of North America
American Cancer Society
Bristol-Myers Squibb
National Institutes of Health
Biomedical Laboratory Research and Development, VA Office of Research and Development
Boehringer Ingelheim
FWCI
33.50
Citation Percentile
1.0%
Citation Trend
Fields of Study
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