Scaling Neuroscience Research using Federated Learning

no code implementations • 16 Feb 2021 • Dimitris Stripelis, Jose Luis Ambite, Pradeep Lam, Paul Thompson

Federated Learning is a promising approach to learn a joint model over data silos.

Federated Learning

3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI

no code implementations • 18 Nov 2020 • Pradeep Lam, Alyssa H. Zhu, Iyad Ba Gari, Neda Jahanshad, Paul M. Thompson

Building on a 3D convolutional neural network, we added two attention modules at different layers of abstraction, so that features learned are spatially related to the global features for the task.

Disease Prediction