Showing results (411-420 of 918) with videos related to
Sort By:
Pageof 92
Patterns (New York, N.Y.)|February 19, 2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovationSuraj Rajendran, Weishen Pan, Mert R Sabuncu, et al.Patterns (New York, N.Y.)|February 19, 2024
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmologyBingjie Yan, Danmin Cao, Xinlong Jiang, et al.Patterns (New York, N.Y.)|March 15, 2024
The DIRAC framework: Geometric structure underlies roles of diversity and accuracy in combining classifiersMatthew J Sniatynski, John A Shepherd, Lynne R Wilkens, et al.Patterns (New York, N.Y.)|March 15, 2024
Federated learning for multi-omics: A performance evaluation in Parkinson's diseaseBenjamin P Danek, Mary B Makarious, Anant Dadu, et al.Patterns (New York, N.Y.)|January 24, 2024
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitalsWeishen Pan, Zhenxing Xu, Suraj Rajendran, et al.Patterns (New York, N.Y.)|January 24, 2024
Functional microRNA-targeting drug discovery by graph-based deep learningArash Keshavarzi Arshadi, Milad Salem, Heather Karner, et al.Patterns (New York, N.Y.)|January 29, 2024
Energy efficiency as a normative account for predictive codingShahab BakhtiariPatterns (New York, N.Y.)|September 5, 2024
Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularizationChen Qiao, Yuanhua HuangPatterns (New York, N.Y.)|September 5, 2024
A federated learning architecture for secure and private neuroimaging analysisDimitris Stripelis, Umang Gupta, Hamza Saleem, et al.Patterns (New York, N.Y.)|July 31, 2024
The potential of self- supervised learning in embryo selection for IVF successGuanqiao Shan, Yu SunPageof 92