Eldad Elnekave

High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID)

Barry R. Zeebèrg, Haiying Qin, Sudarshan Narasimhan et al. · BMC Bioinformatics · 2005 · 285 citations · Full text

IL-13Rα2 and IL-10 coordinately suppress airway inflammation, airway-hyperreactivity, and fibrosis in mice

Mark S. Wilson, Eldad Elnekave, Margaret Mentink‐Kane et al. · Journal of Clinical Investigation · 2007 · 138 citations · Full text

Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement

Philip Teare, Michael Fishman, Oshra Benzaquen et al. · Journal of Digital Imaging · 2017 · 103 citations · Full text

Convolutional Neural Network, Image Analysis, Engineering +12

Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization

Noa Dagan, Eldad Elnekave, Noam Barda et al. · Nature Medicine · 2020 · 101 citations

Bone Disease, Spinal Fracture, Skeletal Trauma +12

The Impact of Gown-Use Requirement on Hand Hygiene Compliance

Yoav Golan, Shira Doron, John Griffith et al. · Clinical Infectious Diseases · 2006 · 65 citations · Full text