Peter Karth

2017

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Peter Karth's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet Large Scale Visual Recognition Challenge
3. Rethinking the Inception Architecture for Computer Vision
4. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
5. Deep Learning
6. Google Vizier: A Service for Black-Box Optimization
7. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
8. Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs (IEEE Transactions on Medical Imaging)
9. A Coefficient of Agreement for Nominal Scales
10. Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens (Journal of the American Medical Association (JAMA))

Their papers

• Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy (2017) — 503 citations