J
Jonathan Krause
Researcher at Google
Publications - 48
Citations - 45410
Jonathan Krause is an academic researcher from Google. The author has contributed to research in topics: Object detection & Diabetic retinopathy. The author has an hindex of 27, co-authored 45 publications receiving 30925 citations. Previous affiliations of Jonathan Krause include California Institute of Technology & Stanford University.
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Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation.
TL;DR: Stratified Noisy Cross-Validation (SNCV) is introduced, an extension of noisy cross validation that can provide estimates of confidence in model predictions by assigning a quality score to each example; stratify labels to handle class imbalance; and identify likely low-quality labels to analyze the causes.
Journal ArticleDOI
Discovering novel systemic biomarkers in photos of the external eye
Boris Babenko,Ilana Traynis,Christina Chen,Preeti Singh,Akib A Uddin,Jorge Cuadros,Lauren Patty Daskivich,April Y. Maa,Ramasamy Kim,Eugene Yu-Chuan Kang,Yossi Matias,Greg S. Corrado,Lily Peng,Dale R. Webster,Christopher Semturs,Jonathan Krause,Avinash V. Varadarajan,Naama Hammel,Yun Liu +18 more
TL;DR: A deep learning system that takes external eye photos as input and predicts multiple systemic parameters, such as those related to the liver, kidney, and bone & mineral, suggests that noninvasive of the external has the potential to provide information about systemic conditions.
Journal ArticleDOI
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.
Boris Babenko,Ilana Traynis,Christina Chen,Preeti Singh,Akib A Uddin,Jorge Cuadros,Lauren Patty Daskivich,April Y. Maa,Ramasamy Kim,Eugene Yu-Chuan Kang,Y. Matias,Greg S. Corrado,Lily Peng,Dale R. Webster,Christopher Semturs,Jonathan Krause,Avinash V. Varadarajan,Naama Hammel,Yun Liu +18 more
TL;DR: In this article , a deep learning system was developed to predict systemic parameters, such as those related to the liver (albumin, aspartate aminotransferase [AST]); kidney (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [ACR]); bone or mineral (calcium); thyroid (thyroid stimulating hormone); and blood (haemoglobin, white blood cells [WBC], platelets).