Generative AI for Medical Imaging: extending the MONAI Framework
Walter Hugo Lopez Pinaya(King's College London), M. Jorge Cardoso(King's College London), Virginia Fernández(King's College London), Jong Chul Ye(Korea Advanced Institute of Science and Technology), Prerna Dogra(Mayo Clinic in Arizona), Marc Modat(University College London), Parashkev Nachev, Pedro F. da Costa, Ashay Patel, Julia Wolleb, Oeslle Lucena, Petru-Daniel Tudosiu, Peng Wei, Sotirios A. Tsaftaris(University of Edinburgh), Pedro Sanchez, Andrew Feng(Creative Technologies (United States)), Eric Kerfoot(King's College London), Xueyan Mei(Mount Sinai Hospital), Can Zhao, Sébastien Ourselin(King's College London), Mark S. Graham, Jessica Dafflon(National Institute of Mental Health), Zelong Liu(Icahn School of Medicine at Mount Sinai), Hyungjin Chung
Cited by 40
Related Papers
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
|Radiology|2020|2.9k
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
|Radiology|2020|2.8k
Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study
|The Lancet Public Health|2020|2.3k
The Medical Segmentation Decathlon
|Nature Communications|2022|1.2k
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
|Nature Medicine|2020|1.1k