Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings is a research paper published in IEEE Journal of Translational Engineering in Health and Medicine (2021). On theSindex it has a DataRank of 0. It has been cited 28 times.
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National Eye Institute of the National Institutes of Health
Grant: K23EY022947
National Cancer Institute of the National Institutes of Health
Grant: U24CA199374
National Cancer Institute of the National Institutes of Health
Grant: R01CA257612
National Cancer Institute of the National Institutes of Health
Grant: R01CA202752
National Cancer Institute of the National Institutes of Health
Grant: R01CA208236
National Cancer Institute of the National Institutes of Health
Grant: R01CA216579
National Cancer Institute of the National Institutes of Health
Grant: R01CA220581
National Cancer Institute of the National Institutes of Health
Grant: U01CA239055
National Cancer Institute of the National Institutes of Health
Grant: U54CA254566
National Cancer Institute of the National Institutes of Health
Grant: U01CA248226
National Heart, Lung and Blood Institute
Grant: R01HL151277
National Institute for Biomedical Imaging and Bioengineering
Grant: R43EB028736
National Center for Research Resources
Grant: C06RR12463
Veterans’ Administration Merit Review Award through the U.S. Department of Veterans Affairs Biomedical Laboratory Research and Development Service
Grant: IBX004121A
Department of Defense (DoD) Breast Cancer Research Program Breakthrough Level 1
Grant: W81XWH-19-1-0668
DOD Prostate Cancer Idea Development Award
Grant: W81XWH-15-1-0558
DOD Lung Cancer Investigator-Initiated Translational Research
Grant: W81XWH-18-1-0440
DOD Peer Reviewed Cancer Research Program
Grant: W81XWH-16-1-0329
Case Western Reserve University (CWRU) Nephrology Training Grant
Grant: 5T32DK747033
Regeneron
Grant: VGFTe-DME-1431
NCRR NIH HHS
Grant: C06 RR012463
BLRD VA
Grant: I01 BX004121
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: 5U01CA248226-03
RadxTools for assessing tumor treatment response on imaging
National Institutes of Health
Grant: 5R01CA216579-03
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung Cancers
National Institutes of Health
Grant: 5K23EY022947-05
Intraoperative Optical Coherence Tomography for Ophthalmic Surgery
National Institutes of Health
Grant: 5U54CA254566-02
Lung cancer in East Africa and the relationship to HIV-1 infection: epidemiology, molecular characterization and imaging
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: 1R43EB028736-01
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides
National Institutes of Health
Grant: 1C06RR012463-01
BIOMEDICAL ENGINEERING RESEARCH FACILITIES
National Institutes of Health
Grant: 5R01CA202752-05
Computerized histologic image predictor of cancer outcome
National Institutes of Health
Grant: 1R01CA257612-01A1
Novel Radiomics for Predicting Response to Immunotherapy for Lung Cancer
National Institutes of Health
Grant: 5R01CA220581-05
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal Carcinoma
National Institutes of Health
Grant: 1U24CA199374-01
Pathology Image Informatics Platform for visualization, analysis and management
Clinical and Translational Science Award Program (CTSA) through Case Western Reserve University
Neptune Career Development Award
Wallace H. Coulter Foundation Program through the Department of Biomedical Engineering
Kidney Precision Medicine Project (KPMP) Glue Grant
Ohio Third Frontier Technology Validation Fund
FWCI
2.88
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals