A deep-learning algorithm to classify skin lesions from mpox virus infection
Alexander Thieme(Stanford Medicine), Olivier Gevaert(Stanford Medicine), David Kaul(Charité - Universitätsmedizin Berlin), Jorge Salinas(Palo Alto University), Prashnna Gyawali(Tribhuvan University), Kendall Billick(University Health Network), Angelo Capodici(University of Bologna), Tina Hernandez‐Boussard(Stanford Medicine), Daniel Habenicht(Technische Universität Berlin), Johannes Gollrad(Charité - Universitätsmedizin Berlin), Maximilian Uhlig(Justus-Liebig-Universität Gießen), Maja Kohler(Heidelberg University), Mirja Mittermaier(Berlin Institute of Health at Charité - Universitätsmedizin Berlin), Maximilian Gertler(Charité - Universitätsmedizin Berlin), Pascal Geldsetzer(Stanford University), Jackie Ma(Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Christoph Lippert(Hasso Plattner Institute), Yuanning Zheng(Konkuk University), Isaac I. Bogoch(University Health Network), Christoph Sadée(Stanford University), Francisco Carrillo‐Pérez(Stanford Medicine), Maximilian Schuessler(Stanford University), Gautam Machiraju(Stanford University), Anastassia Löser(University Hospital Schleswig-Holstein), Krithika Srinivasan(Stanford University)
Cited by 112
Related Papers
The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults
|The Lancet|2019|864
Estimates and Projections of the Global Economic Cost of 29 Cancers in 204 Countries and Territories From 2020 to 2050
|JAMA Oncology|2023|822
Use of Rapid Online Surveys to Assess People's Perceptions During Infectious Disease Outbreaks: A Cross-sectional Survey on COVID-19
|Journal of Medical Internet Research|2020|521
Knowledge and Perceptions of COVID-19 Among the General Public in the United States and the United Kingdom: A Cross-sectional Online Survey
|Annals of Internal Medicine|2020|498