1 citations · 4 across the 4 of their papers we have counts for
5 papers
Ten Pillars for Data Meshes
Robert L. Grossman, Ceilyn Boyd, Nhan Do +11
Over the past few years, a growing number of data platforms have emerged, including data commons, data repositories, and databases containing biomedical, environmental, social dete…
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service
Zilinghan Li, Shilan He, Pranshu Chaturvedi +9
Cross-silo privacy-preserving federated learning (PPFL) is a powerful tool to collaboratively train robust and generalized machine learning (ML) models without sharing sensitive (e…
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons
Heather M. Whitney, Natalie Baughan, Kyle J. Myers +11
Purpose: The Medical Imaging and Data Resource Center (MIDRC) open data commons was launched to accelerate the development of artificial intelligence (AI) algorithms to help addres…
Principles and Guidelines for Sharing Biomedical Data for Secondary Use: The University of Chicago Perspective
Robert L. Grossman, Maryellen L. Giger, Julie A. Johnson +4
Academic medical centers are generating an increasing amount of biomedical data and there is an increasing demand for biomedical data for research purposes by research projects, re…
Multi-task Learning in the Computerized Diagnosis of Breast Cancer on DCE-MRIs
Natalia Antropova, Benjamin Huynh, Maryellen Giger
Hand-crafted features extracted from dynamic contrast-enhanced magnetic resonance images (DCE-MRIs) have shown strong predictive abilities in characterization of breast lesions. Ho…