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Holger R Roth

Showing results (41-50 of 49) with videos related to

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NPJ Digital Medicine|October 5, 2020
The future of digital health with federated learningNicola Rieke, Jonny Hancox, Wenqi Li, et al.
Medical Image Analysis|February 18, 2021
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, JapanDong Yang, Ziyue Xu, Wenqi Li, et al.
Journal of the American Medical Informatics Association : JAMIA|February 4, 2021
Federated learning improves site performance in multicenter deep learning without data sharingKarthik V Sarma, Stephanie Harmon, Thomas Sanford, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Abdominal Radiology (New York)|March 21, 2024
Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methodsLatrice A Johnson, Stephanie A Harmon, Enis C Yilmaz, et al.
Pancreas|November 6, 2019
Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases WorkshopMark E Lowe, Dana K Andersen, Richard M Caprioli, et al.
Medical Image Analysis|September 26, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Research Square|June 8, 2021
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor Diez, et al.
Nature Medicine|September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
Pageof 5

Showing results (41-50 of 49) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 49 results.
NPJ Digital Medicine|October 5, 2020
The future of digital health with federated learningNicola Rieke, Jonny Hancox, Wenqi Li, et al.
Medical Image Analysis|February 18, 2021
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, JapanDong Yang, Ziyue Xu, Wenqi Li, et al.
Journal of the American Medical Informatics Association : JAMIA|February 4, 2021
Federated learning improves site performance in multicenter deep learning without data sharingKarthik V Sarma, Stephanie Harmon, Thomas Sanford, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Abdominal Radiology (New York)|March 21, 2024
Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methodsLatrice A Johnson, Stephanie A Harmon, Enis C Yilmaz, et al.
Pancreas|November 6, 2019
Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases WorkshopMark E Lowe, Dana K Andersen, Richard M Caprioli, et al.
Medical Image Analysis|September 26, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Research Square|June 8, 2021
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor Diez, et al.
Nature Medicine|September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
Pageof 5