Kasumi Widner

2016–2019

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Kasumi Widner's perspective

Ordered by how strongly the researchers Kasumi Widner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Rethinking the Inception Architecture for Computer Vision
3. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
4. Google Vizier: A Service for Black-Box Optimization
5. A Coefficient of Agreement for Nominal Scales
6. Computer-aided diagnosis of diabetic retinopathy: A review (Comput. Biol. Medicine)
7. Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens (Journal of the American Medical Association (JAMA))
8. Prevalence of Diabetic Retinopathy in the United States, 2005–2008 (Journal of the American Medical Association (JAMA))
9. FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE
10. Automated Identification of Diabetic Retinopathy Using Deep Learning. (Ophthalmology (Rochester, Minn.))

Their papers

• Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program (2019) — 207 citations
• Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy (2017) — 503 citations
• Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. (2016) — 6,915 citations