Ehsan Rahimy

Ophthalmology (Rochester, Minn.) · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ehsan Rahimy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christian Szegedy

Papers from Ehsan Rahimy's perspective

Ordered by how strongly the researchers Ehsan Rahimy 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Google Vizier: A Service for Black-Box Optimization
8. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
9. ImageNet classification with deep convolutional neural networks
10. Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs (IEEE Transactions on Medical Imaging)

Their papers

• Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy. (2019) — 379 citations
• Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy (2017) — 503 citations