JK
Jonathan Krause
cs.CVDeep Learningcs.LGeess.IVMachine LearningAlgorithmscs.CLDeveloping worldDiabetes complicationsDiabetic Retinopathy
On Valency
published · living versionsW_m6tzhevx·v1 · currentpublished
ImageNet Large Scale Visual Recognition Challenge
with Olga Russakovsky, Jia Deng, Hao Su, Sanjeev Satheesh +7
1 version
Preprints & journals
27 papers in the corpus · 2014–2026Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened.42778767 · Tiwari, Richa, Sawhney, Rajroshan, Widner, Kasumi et al.2026 · 0 citationsNature medicine. 2026;32(10):3525-3527
Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes.40087218 · Tan-Torres, Antonio, Praveen, Pradeep A, Jeji, Divleen et al.2025 · 5 citationsOphthalmology and therapy. 2025;14(5):1147-1155
Performance of a Deep Learning Diabetic Retinopathy Algorithm in India.40105843 · Brant, Arthur, Singh, Preeti, Yin, Xiang et al.2025 · 22 citationsJAMA network open. 2025;8(3):e250984
Safety principles for medical summarization using generative AI.39438665 · Obika, Dillon, Kelly, Christopher, Ding, Nicola et al.2026 · 9 citationsNature medicine. 2024;30(12):3417-3419
Capabilities of Gemini Models in Medicine2404.18416v2 · Khaled Saab, Tao Tu, Wei-Hung Weng et al.2024 · 117 citationsarXiv
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology2310.13259v1 · Jeremy Lai, Faruk Ahmed, Supriya Vijay et al.2023 · 4 citationsarXiv
Lessons learned from translating AI from development to deployment in healthcare.37248297 · Widner, Kasumi, Virmani, Sunny, Krause, Jonathan et al.2023 · 61 citationsNature medicine. 2023;29(6):1304-1306
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.36966118 · Babenko, Boris, Traynis, Ilana, Chen, Christina et al.2023 · 40 citationsThe Lancet. Digital health. 2023;5(5):e257-e264
Discovering novel systemic biomarkers in photos of the external eye2207.08998v1 · Boris Babenko, Ilana Traynis, Christina Chen et al.2022 · 1 citationarXiv
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.33381600 · Limwattanayingyong, Jirawut, Nganthavee, Variya, Seresirikachorn, Kasem et al.2021 · 17 citationsJournal of diabetes research. 2020;2020:8839376
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation2009.10858v1 · Joy Hsu, Sonia Phene, Akinori Mitani et al.2020 · 3 citationsACM Conference on Health, Inference, and Learning, April 02-04, 2020, Toronto, Canada
Remote Tool-Based Adjudication for Grading Diabetic Retinopathy.31867141 · Schaekermann, Mike, Hammel, Naama, Terry, Michael et al.2022 · 19 citationsTranslational vision science & technology. 2019;8(6):40
How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.31714992 · Liu, Yun, Chen, Po-Hsuan Cameron, Krause, Jonathan et al.2019 · 519 citationsJAMA. 2019;322(18):1806-1816
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.31561879 · Phene, Sonia, Dunn, R Carter, Hammel, Naama et al.2020 · 186 citationsOphthalmology. 2019;126(12):1627-1639
Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.31341955 · Ruamviboonsuk, Paisan, Krause, Jonathan, Chotcomwongse, Peranut et al.2020 · 25 citationsNPJ digital medicine. 2019;2:68
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.31304372 · Raumviboonsuk, Paisan, Krause, Jonathan, Chotcomwongse, Peranut et al.2020 · 232 citationsNPJ digital medicine. 2019;2:25
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.30553900 · Sayres, Rory, Taly, Ankur, Rahimy, Ehsan et al.2020 · 417 citationsOphthalmology. 2019;126(4):552-564
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program1810.08290v1 · Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse et al.2018 · 10 citationsarXiv
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy.29548646 · Krause, Jonathan, Gulshan, Varun, Rahimy, Ehsan et al.2019 · 558 citationsOphthalmology. 2018;125(8):1264-1272
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks1802.08774v2 · Amy Jin, Serena Yeung, Jeffrey Jopling et al.2018 · 323 citationsarXiv
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.29183967 · Gebru, Timnit, Krause, Jonathan, Wang, Yilun et al.2018 · 517 citationsProceedings of the National Academy of Sciences of the United States of America. 2017;114(50):13108-13113
Fine-Grained Car Detection for Visual Census Estimation1709.02480v1 · Timnit Gebru, Jonathan Krause, Yilun Wang et al.2017 · 94 citationsarXiv
Scalable Annotation of Fine-Grained Categories Without Experts1709.02482v1 · Timnit Gebru, Jonathan Krause, Jia Deng et al.2017 · 16 citationsarXiv
A Hierarchical Approach for Generating Descriptive Image Paragraphs1611.06607v2 · Jonathan Krause, Justin Johnson, Ranjay Krishna et al.2016 · 376 citationsarXiv
Leveraging the Wisdom of the Crowd for Fine-Grained Recognition.26959672 · Deng, Jia, Krause, Jonathan, Stark, Michael et al.2016 · 52 citationsIEEE transactions on pattern analysis and machine intelligence. 2016;38(4):666-76
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition1511.06789v3 · Jonathan Krause, Benjamin Sapp, Andrew Howard et al.2015 · 310 citationsarXiv
ImageNet Large Scale Visual Recognition Challenge1409.0575v3 · Olga Russakovsky, Jia Deng, Hao Su et al.2014 · 39,313 citationsarXivon Valency
Career total: 64 works. 27 are in this corpus.
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