Oualid M. Benkarim

Orcid: 0000-0003-3922-7643

According to our database1, Oualid M. Benkarim authored at least 25 papers between 2014 and 2024.

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Bibliography

2024
Connectome-wide structure-function coupling models implicate polysynaptic alterations in autism.
NeuroImage, January, 2024

2023
An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis.
Comput. Methods Programs Biomed., March, 2023

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations.
NeuroImage, 2023

2022
Micapipe: A pipeline for multimodal neuroimaging and connectome analysis.
NeuroImage, 2022

A Riemannian approach to predicting brain function from the structural connectome.
NeuroImage, 2022

2021
Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function.
NeuroImage, 2021

2020
Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity.
NeuroImage, 2020

The relationship between individual variation in macroscale functional gradients and distinct aspects of ongoing thought.
NeuroImage, 2020

Handling confounding variables in statistical shape analysis - application to cardiac remodelling.
Medical Image Anal., 2020

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly.
Medical Image Anal., 2020

Handling confounding variables in statistical shape analysis - application to cardiac remodelling.
CoRR, 2020

2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019

Patch spaces and fusion strategies in patch-based label fusion.
Comput. Medical Imaging Graph., 2019

2018
Multi-atlas segmentation and analysis of the fetal brain in ventriculomegaly.
PhD thesis, 2018

Learning non-linear patch embeddings with neural networks for label fusion.
Medical Image Anal., 2018

Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation.
Comput. Medical Imaging Graph., 2018

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fetal cortical parcellation based on growth patterns.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Discriminative confidence estimation for probabilistic multi-atlas label fusion.
Medical Image Anal., 2017

Early Prediction of Alzheimer's Disease with Non-local Patch-Based Longitudinal Descriptors.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

On the Role of Patch Spaces in Patch-Based Label Fusion.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

2016
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Discriminative Dimensionality Reduction for Patch-Based Label Fusion.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation.
Proceedings of the Articulated Motion and Deformable Objects, 2014


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