A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs
Sheng Zhang(Microsoft (United States)), Hoifung Poon(Microsoft (United States)), Swadheen Shukla(Microsoft (United States)), Naoto Usuyama(Microsoft (United States)), Sam Preston(Microsoft (United States)), Mu Wei(Microsoft (United States)), Tristan Naumann(Microsoft (United States)), Cliff Wong(Microsoft (United States)), Naveen Valluri(Microsoft (United States)), Matthew P. Lungren(Microsoft (United States)), Rajesh Rao(Microsoft (United States)), Carlo Bifulco(Providence Health & Services), Lars Lidén(Microsoft (United States)), Angela Crabtree(Providence Portland Medical Center), Robert Tinn(Microsoft (United States)), Jaspreet Bagga(Microsoft (United States)), Brian Piening(Providence College), Sheng Wang(University of Washington), Hanwen Xu(China University of Geosciences), Jianfeng Gao(Microsoft (United States)), Matt Mazzola(Microsoft (United States)), Andrea Tupini(Microsoft (United States)), Yanbo Xu(Microsoft (United States))
Cited by 218
Related Papers
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
|Science|2019|1.1k
Cancer classification using the Immunoscore: a worldwide task force
|Journal of Translational Medicine|2012|803
Longitudinal multi-omics of host–microbe dynamics in prediabetes
|Nature|2019|620