Jonathan Krause

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Diabetic Retinopathy

Top Venues

npj Digit. Medicine

Publications

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
Capabilities of Gemini Models in Medicine. CoRR (2024)
Jeremy Lai, Faruk Ahmed, Supriya Vijay, Tiam Jaroensri, Jessica Loo, Saurabh Vyawahare, Saloni Agarwal, Fayaz Jamil, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Jonathan Krause, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. CoRR (2023)
Nevine Nassif, Ashley O. Munch, Carleton L. Molnar, Gerald Pasdast, Sitaraman V. Lyer, Zibing Yang, Oscar Mendoza, Mark Huddart, Srikrishnan Venkataraman, Sireesha Kandula, Rafi Marom, Alexandra M. Kern, William J. Bowhill, David R. Mulvihill, Srikanth Nimmagadda, Varma Kalidindi, Jonathan Krause, Mohammad M. Haq, Roopali Sharma, Kevin Duda
Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor. ISSCC (2022)
Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu
Discovering novel systemic biomarkers in photos of the external eye. CoRR (2022)
Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. CoRR (2020)
Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster
Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digit. Medicine 2 (2019)
Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digit. Medicine 2 (2019)
Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. CoRR (2018)
Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. WACV (2018)
Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. CoRR (2018)
Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Gregory S. Corrado, Lily Peng, Dale R. Webster
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. CoRR (2018)
Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
Scalable Annotation of Fine-Grained Categories Without Experts. CHI (2017)
Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
Scalable Annotation of Fine-Grained Categories Without Experts. CoRR (2017)
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proc. Natl. Acad. Sci. USA 114 (50) (2017)
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR (2017)
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. CoRR (2017)
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
Fine-Grained Car Detection for Visual Census Estimation. CoRR (2017)
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
Fine-Grained Car Detection for Visual Census Estimation. AAAI (2017)
Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter Karth, Kasumi Widner, Gregory S. Corrado, Lily Peng, Dale R. Webster
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. CoRR (2017)
Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei
Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) (2016)
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR (2016)
Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei
Fine-grained recognition without part annotations. CVPR (2015)
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115 (3) (2015)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR (2015)
Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei
Scalable multi-label annotation. CHI (2014)
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei
ImageNet Large Scale Visual Recognition Challenge. CoRR (2014)
Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
Learning Features and Parts for Fine-Grained Recognition. ICPR (2014)
Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
3D Object Representations for Fine-Grained Categorization. ICCV Workshops (2013)
Jia Deng, Jonathan Krause, Li Fei-Fei
Fine-Grained Crowdsourcing for Fine-Grained Recognition. CVPR (2013)
Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller
Fine-Grained Categorization for 3D Scene Understanding. BMVC (2012)
Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei
Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. CVPR (2012)
Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause
The next big one: Detecting earthquakes and other rare events from community-based sensors. IPSN (2011)
Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause
Demo abstract, the next big one: Detecting earthquakes and other rare events from community-based sensors. IPSN (2011)