Jonathan Krause

36 papers A* 7A 2B 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Generative AI for medical education: Insights from a case study with medical students and an AI tutor for clinical reasoning. CHI Extended Abstracts Amy Wang, Roma Ruparel, Anna Iurchenko, Paul Jhun, Julie Anne Séguin, Patricia Strachan, Renee Wong, Alan Karthikesalingam, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Christopher Semturs, Jonathan Krause, Mike Schaekermann
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR 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
2023	J	`jnl`	Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. CoRR 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
2022	J	`jnl`	Discovering novel systemic biomarkers in photos of the external eye. CoRR 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
2022	—	`conf`	Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor. ISSCC 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
2020	J	`jnl`	Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. CoRR Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres
2019	J	`jnl`	Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digit. Medicine 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
2019	J	`jnl`	Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digit. Medicine 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
2018	J	`jnl`	Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. CoRR 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
2018	J	`jnl`	Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. CoRR 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
2018	A	`conf`	Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. WACV Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei
2018	J	`jnl`	Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. CoRR Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei
2017	A*	`conf`	A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
2017	A*	`conf`	Fine-Grained Car Detection for Visual Census Estimation. AAAI Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Fine-Grained Car Detection for Visual Census Estimation. CoRR Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. CoRR Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter Karth, Kasumi Widner, Gregory S. Corrado, Lily Peng, Dale R. Webster
2017	A*	`conf`	Scalable Annotation of Fine-Grained Categories Without Experts. CHI Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Scalable Annotation of Fine-Grained Categories Without Experts. CoRR Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. CoRR Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei
2017	J	`jnl`	Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proc. Natl. Acad. Sci. USA Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei
2016	J	`jnl`	A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
2016	—	`—`	Fine-grained recognition: data, recognition, and application. Jonathan Krause
2016	J	`jnl`	Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei
2016	—	`conf`	The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2015	A*	`conf`	Fine-grained recognition without part annotations. CVPR Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei
2015	J	`jnl`	ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 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
2015	J	`jnl`	The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2014	J	`jnl`	ImageNet Large Scale Visual Recognition Challenge. CoRR 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
2014	B	`conf`	Learning Features and Parts for Fine-Grained Recognition. ICPR Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
2014	A*	`conf`	Scalable multi-label annotation. CHI Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei
2013	—	`conf`	3D Object Representations for Fine-Grained Categorization. ICCV Workshops Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
2013	A*	`conf`	Fine-Grained Crowdsourcing for Fine-Grained Recognition. CVPR Jia Deng, Jonathan Krause, Li Fei-Fei
2012	A	`conf`	Fine-Grained Categorization for 3D Scene Understanding. BMVC Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller
2012	A*	`conf`	Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. CVPR Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei
2011	—	`conf`	Demo abstract, the next big one: Detecting earthquakes and other rare events from community-based sensors. IPSN Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause
2011	—	`conf`	The next big one: Detecting earthquakes and other rare events from community-based sensors. IPSN Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause