3 papers
cs.LG2026
Federated Learning and Class Imbalances
Siqi Zhu, Joshua D. Kaggie
Federated Learning (FL) enables collaborative model training across decentralized devices while preserving data privacy. However, real-world FL deployments face critical challenges…
eess.IV2024
Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement
Shuaiyu Yuan, Tristan Whitmarsh, Dimitri A Kessler +8
Sodium MRI is an imaging technique used to visualize and quantify sodium concentrations in vivo, playing a role in many biological processes and potentially aiding in breast cancer…
eess.IV2024
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising
Shuaiyu Yuan, Tristan Whitmarsh, Dimitri A Kessler +8
New multinuclear MRI techniques, such as sodium MRI, generally suffer from low image quality due to an inherently low signal. Postprocessing methods, such as image denoising, have…