Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Krause, Jonathan"'
Autor:
Saab, Khaled, Tu, Tao, Weng, Wei-Hung, Tanno, Ryutaro, Stutz, David, Wulczyn, Ellery, Zhang, Fan, Strother, Tim, Park, Chunjong, Vedadi, Elahe, Chaves, Juanma Zambrano, Hu, Szu-Yeu, Schaekermann, Mike, Kamath, Aishwarya, Cheng, Yong, Barrett, David G. T., Cheung, Cathy, Mustafa, Basil, Palepu, Anil, McDuff, Daniel, Hou, Le, Golany, Tomer, Liu, Luyang, Alayrac, Jean-baptiste, Houlsby, Neil, Tomasev, Nenad, Freyberg, Jan, Lau, Charles, Kemp, Jonas, Lai, Jeremy, Azizi, Shekoofeh, Kanada, Kimberly, Man, SiWai, Kulkarni, Kavita, Sun, Ruoxi, Shakeri, Siamak, He, Luheng, Caine, Ben, Webson, Albert, Latysheva, Natasha, Johnson, Melvin, Mansfield, Philip, Lu, Jian, Rivlin, Ehud, Anderson, Jesper, Green, Bradley, Wong, Renee, Krause, Jonathan, Shlens, Jonathon, Dominowska, Ewa, Eslami, S. M. Ali, Chou, Katherine, Cui, Claire, Vinyals, Oriol, Kavukcuoglu, Koray, Manyika, James, Dean, Jeff, Hassabis, Demis, Matias, Yossi, Webster, Dale, Barral, Joelle, Corrado, Greg, Semturs, Christopher, Mahdavi, S. Sara, Gottweis, Juraj, Karthikesalingam, Alan, Natarajan, Vivek
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of complex multimodal data. Gemini models, with strong general capabilit
Externí odkaz:
http://arxiv.org/abs/2404.18416
Autor:
Lai, Jeremy, Ahmed, Faruk, Vijay, Supriya, Jaroensri, Tiam, Loo, Jessica, Vyawahare, Saurabh, Agarwal, Saloni, Jamil, Fayaz, Matias, Yossi, Corrado, Greg S., Webster, Dale R., Krause, Jonathan, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Steiner, David F.
Task-specific deep learning models in histopathology offer promising opportunities for improving diagnosis, clinical research, and precision medicine. However, development of such models is often limited by availability of high-quality data. Foundati
Externí odkaz:
http://arxiv.org/abs/2310.13259
Autor:
Babenko, Boris, Traynis, Ilana, Chen, Christina, Singh, Preeti, Uddin, Akib, Cuadros, Jorge, Daskivich, Lauren P., Maa, April Y., Kim, Ramasamy, Kang, Eugene Yu-Chuan, Matias, Yossi, Corrado, Greg S., Peng, Lily, Webster, Dale R., Semturs, Christopher, Krause, Jonathan, Varadarajan, Avinash V., Hammel, Naama, Liu, Yun
External eye photos were recently shown to reveal signs of diabetic retinal disease and elevated HbA1c. In this paper, we evaluate if external eye photos contain information about additional systemic medical conditions. We developed a deep learning s
Externí odkaz:
http://arxiv.org/abs/2207.08998
Autor:
Hsu, Joy, Phene, Sonia, Mitani, Akinori, Luo, Jieying, Hammel, Naama, Krause, Jonathan, Sayres, Rory
Publikováno v:
ACM Conference on Health, Inference, and Learning, April 02-04, 2020, Toronto, Canada
As machine learning has become increasingly applied to medical imaging data, noise in training labels has emerged as an important challenge. Variability in diagnosis of medical images is well established; in addition, variability in training and atte
Externí odkaz:
http://arxiv.org/abs/2009.10858
Autor:
Babenko, Boris, Traynis, Ilana, Chen, Christina, Singh, Preeti, Uddin, Akib, Cuadros, Jorge, Daskivich, Lauren P, Maa, April Y, Kim, Ramasamy, Kang, Eugene Yu-Chuan, Matias, Yossi, Corrado, Greg S, Peng, Lily, Webster, Dale R, Semturs, Christopher, Krause, Jonathan, Varadarajan, Avinash V, Hammel, Naama *, Liu, Yun **
Publikováno v:
In The Lancet Digital Health May 2023 5(5):e257-e264
Autor:
Phene, Sonia, Dunn, R. Carter, Hammel, Naama, Liu, Yun, Krause, Jonathan, Kitade, Naho, Schaekermann, Mike, Sayres, Rory, Wu, Derek J., Bora, Ashish, Semturs, Christopher, Misra, Anita, Huang, Abigail E., Spitze, Arielle, Medeiros, Felipe A., Maa, April Y., Gandhi, Monica, Corrado, Greg S., Peng, Lily, Webster, Dale R.
Publikováno v:
Ophthalmology (2019)
Glaucoma is the leading cause of preventable, irreversible blindness world-wide. The disease can remain asymptomatic until severe, and an estimated 50%-90% of people with glaucoma remain undiagnosed. Glaucoma screening is recommended for early detect
Externí odkaz:
http://arxiv.org/abs/1812.08911
Autor:
Raumviboonsuk, Paisan, Krause, Jonathan, Chotcomwongse, Peranut, Sayres, Rory, Raman, Rajiv, Widner, Kasumi, Campana, Bilson J L, Phene, Sonia, Hemarat, Kornwipa, Tadarati, Mongkol, Silpa-Acha, Sukhum, Limwattanayingyong, Jirawut, Rao, Chetan, Kuruvilla, Oscar, Jung, Jesse, Tan, Jeffrey, Orprayoon, Surapong, Kangwanwongpaisan, Chawawat, Sukulmalpaiboon, Ramase, Luengchaichawang, Chainarong, Fuangkaew, Jitumporn, Kongsap, Pipat, Chualinpha, Lamyong, Saree, Sarawuth, Kawinpanitan, Srirat, Mitvongsa, Korntip, Lawanasakol, Siriporn, Thepchatri, Chaiyasit, Wongpichedchai, Lalita, Corrado, Greg S, Peng, Lily, Webster, Dale R
Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical population, and compare the algorithm performance with that of human
Externí odkaz:
http://arxiv.org/abs/1810.08290
Autor:
Jin, Amy, Yeung, Serena, Jopling, Jeffrey, Krause, Jonathan, Azagury, Dan, Milstein, Arnold, Fei-Fei, Li
Five billion people in the world lack access to quality surgical care. Surgeon skill varies dramatically, and many surgical patients suffer complications and avoidable harm. Improving surgical training and feedback would help to reduce the rate of co
Externí odkaz:
http://arxiv.org/abs/1802.08774