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Hui Ren

Showing results (1081-1090 of 1,088) with videos related to

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IEEE Journal of Biomedical and Health Informatics|October 12, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak LabelsDufan Wu, Kuang Gong, Chiara Daniela Arru, et al.
European Journal of Radiology|April 13, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health recordsKuang Gong, Dufan Wu, Chiara Daniela Arru, et al.
Cell Reports Methods|March 20, 2023
Blood RNA alternative splicing events as diagnostic biomarkers for infectious diseaseZijun Zhang, Natalie Sauerwald, Antonio Cappuccio, et al.
Infectious Diseases of Poverty|August 3, 2023
Tackling global health security by building an academic community for One Health actionXiao-Xi Zhang, Xin-Chen Li, Qi-Yu Zhang, et al.
Infectious Diseases of Poverty|April 12, 2024
Towards an actionable One Health approachXiao-Xi Zhang, Zohar Lederman, Le-Fei Han, et al.
The Lancet. Oncology|October 5, 2023
Safety and antitumour activity of cadonilimab, an anti-PD-1/CTLA-4 bispecific antibody, for patients with advanced solid tumours (COMPASSION-03): a multicentre, open-label, phase 1b/2 trialXiangyu Gao, Nong Xu, Ziyu Li, et al.
Research Square|January 14, 2021
Federated Learning used for predicting outcomes in SARS-COV-2 patientsMona Flores, Ittai Dayan, Holger Roth, 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 109

Showing results (1081-1090 of 1,088) with videos related to

Sort By:
Pageof 109
You have reached the last page of results.This site can display upto 1,088 results.
IEEE Journal of Biomedical and Health Informatics|October 12, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak LabelsDufan Wu, Kuang Gong, Chiara Daniela Arru, et al.
European Journal of Radiology|April 13, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health recordsKuang Gong, Dufan Wu, Chiara Daniela Arru, et al.
Cell Reports Methods|March 20, 2023
Blood RNA alternative splicing events as diagnostic biomarkers for infectious diseaseZijun Zhang, Natalie Sauerwald, Antonio Cappuccio, et al.
Infectious Diseases of Poverty|August 3, 2023
Tackling global health security by building an academic community for One Health actionXiao-Xi Zhang, Xin-Chen Li, Qi-Yu Zhang, et al.
Infectious Diseases of Poverty|April 12, 2024
Towards an actionable One Health approachXiao-Xi Zhang, Zohar Lederman, Le-Fei Han, et al.
The Lancet. Oncology|October 5, 2023
Safety and antitumour activity of cadonilimab, an anti-PD-1/CTLA-4 bispecific antibody, for patients with advanced solid tumours (COMPASSION-03): a multicentre, open-label, phase 1b/2 trialXiangyu Gao, Nong Xu, Ziyu Li, et al.
Research Square|January 14, 2021
Federated Learning used for predicting outcomes in SARS-COV-2 patientsMona Flores, Ittai Dayan, Holger Roth, 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 109