most citedFederated Learning for Breast Density Classification: A Real-World Implementation

134 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.LG2025★ 1 cited

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults

Dong Hyun Jeon, Lijing Zhu, Haifang Li +6

Temporal Graph Neural Networks (TGNNs) have become indispensable for analyzing dynamic graphs in critical applications such as social networks, communication systems, and financial…

q-bio.QM2025★ 4 cited

Dynamicasome: a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations

Naeyma N Islam, Mathew A Coban, Jessica M Fuller +6

Advances in genomic medicine accelerate the identi cation of mutations in disease-associated genes, but the pathogenicity of many mutations remains unknown, hindering their use in…

cs.CY2025★ 8 cited

Launching Insights: A Pilot Study on Leveraging Real-World Observational Data from the Mayo Clinic Platform to Advance Clinical Research

Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy +15

Backgrounds: Artificial intelligence (AI) is transforming healthcare, yet translating AI models from theoretical frameworks to real-world clinical applications remains challenging.…

eess.IV2020★ 134 cited

Federated Learning for Breast Density Classification: A Real-World Implementation

Holger R. Roth, Ken Chang, Praveer Singh +40

Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical ima…