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Related Experiment Video

Updated: Sep 3, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Multimodal MRI-Based Whole-Brain Assessment in Patients In Anoxoischemic Coma by Using 3D Convolutional Neural

Giulia Maria Mattia¹, Benjamine Sarton^1,2, Edouard Villain^1,3

¹Toulouse NeuroImaging Center, Toulouse III Paul Sabatier University, Inserm, Toulouse, France.

Neurocritical Care

|July 25, 2022

Summary

A deep learning model successfully distinguished patients in postanoxic coma from healthy controls using 3D magnetic resonance imaging (MRI) data. This automated approach shows promise for early brain damage evaluation in coma patients.

Failed At:

2026-06-19T13:48:50.589478+00:00

Keywords:

Cardiac arrest Coma Convolutional neural networks Deep learning Multimodal MRI

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