Deep Labeling of fMRI Brain Networks

no code implementations • 5 May 2023 • Ammar Ahmed Pallikonda Latheef, Sejal Ghate, Zhipeng Hui, Alberto Santamaria-Pang, Ivan Tarapov, Haris I Sair, Craig K Jones

We prove the generalizability of our method by showing that the MLP performs at 100% accuracy in the holdout dataset and 98. 3% accuracy in three other sites' fMRI acquisitions.

Deep Labeling of fMRI Brain Networks Using Cloud Based Processing

no code implementations • 16 Sep 2022 • Sejal Ghate, Alberto Santamaria-Pang, Ivan Tarapov, Haris I Sair, Craig K Jones

We propose an end-to-end reproducible pipeline which incorporates image processing of rs-fMRI in a cloud-based workflow while using deep learning to automate the classification of RSNs.

Classification Medical Diagnosis