Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
Deep learning models for MRI classification face two recurring problems: they are typically limited by low sample size, and are abstracted by their own complexity (the "black box problem"). In this paper, we train a convolutional neural network (CNN) with the largest multi-source, functional MRI (fMRI) connectomic dataset ever compiled, …