# Jonathan Krause

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jonathan-krause/

## Facts

| Field | Value |
| --- | --- |
| Citations | 49,784 |
| Field | Retinal Imaging and Analysis |
| h-index | 30 |
| i10-index | 42 |
| Last Known Institution | Saint John Vianney College Seminary |
| OpenAlex ID | https://openalex.org/A5060909587 |
| ORCID iD | 0000-0002-1952-3480 |
| Works | 93 |

## Researcher papers

- [ImageNet Large Scale Visual Recognition Challenge](https://scholariq.org/papers/imagenet-large-scale-visual-recognition-challenge/)
- [3D Object Representations for Fine-Grained Categorization](https://scholariq.org/papers/3d-object-representations-for-fine-grained-categorization/)
- [Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy](https://scholariq.org/papers/grader-variability-and-the-importance-of-reference-standards-for-evaluating/)
- [How to Read Articles That Use Machine Learning](https://scholariq.org/papers/how-to-read-articles-that-use-machine-learning/)
- [Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States](https://scholariq.org/papers/using-deep-learning-and-google-street-view-to-estimate-the-demographic-makeup-of/)
- [Fine-grained recognition without part annotations](https://scholariq.org/papers/fine-grained-recognition-without-part-annotations/)
- [Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy](https://scholariq.org/papers/using-a-deep-learning-algorithm-and-integrated-gradients-explanation-to-assist/)
- [A Hierarchical Approach for Generating Descriptive Image Paragraphs](https://scholariq.org/papers/a-hierarchical-approach-for-generating-descriptive-image-paragraphs/)
- [The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition](https://scholariq.org/papers/the-unreasonable-effectiveness-of-noisy-data-for-fine-grained-recognition/)
- [Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks](https://scholariq.org/papers/tool-detection-and-operative-skill-assessment-in-surgical-videos-using-region/)

## Researcher topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Retinal Diseases and Treatments](https://scholariq.org/topics/retinal-diseases-and-treatments/)
- [Retinal and Optic Conditions](https://scholariq.org/topics/retinal-and-optic-conditions/)

## Researcher university

- [Saint John Vianney College Seminary](https://scholariq.org/institutions/saint-john-vianney-college-seminary/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.