Pauline Mouches

Calgary, AB, Canada

Last Updated: 09/26/2026

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Found 29 publications

The future is in the background: background EEG patterns, not acute seizures, predict epilepsy and neurodevelopmental outcomes in neonatal HIE.

The future is in the background: background EEG patterns, not acute seizures, predict epilepsy and neurodevelopmental outcomes in neonatal HIE.

Journal: Frontiers in pediatrics

Published: January 14, 2025

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Journal: Nature communications

Published: June 29, 2024

Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach.

Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach.

Journal: Neurology

Published: May 15, 2024

Analysis and visualization of the effect of multiple sclerosis on biological brain age.

Analysis and visualization of the effect of multiple sclerosis on biological brain age.

Journal: Frontiers in neurology

Published: April 25, 2024

Multimodal imaging measures in the prediction of clinical response to deep brain stimulation for refractory depression: A machine learning approach.

Multimodal imaging measures in the prediction of clinical response to deep brain stimulation for refractory depression: A machine learning approach.

Journal: The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry

Published: January 08, 2024

Machine learning using multimodal clinical, electroencephalographic, and magnetic resonance imaging data can predict incident depression in adults with epilepsy: A pilot study.

Machine learning using multimodal clinical, electroencephalographic, and magnetic resonance imaging data can predict incident depression in adults with epilepsy: A pilot study.

Journal: Epilepsia

Published: December 23, 2022

Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets.

Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets.

Journal: NeuroImage. Clinical

Published: August 31, 2022

Aerobic exercise increases brain vessel lumen size and blood flow in young adults with elevated blood pressure. Secondary analysis of the TEPHRA randomized clinical trial.

Aerobic exercise increases brain vessel lumen size and blood flow in young adults with elevated blood pressure. Secondary analysis of the TEPHRA randomized clinical trial.

Journal: NeuroImage. Clinical

Published: August 23, 2022

Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.

Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.

Journal: Neuroinformatics

Published: August 15, 2022

An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.

An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published: July 30, 2022

Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors.

Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors.

Journal: Frontiers in neurology

Published: June 27, 2022

An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors.

An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors.

Journal: Frontiers in aging neuroscience

Published: May 11, 2022

Showing 1-12 of 29

Last Updated: 09/26/2026