Search Results for author:
Found 7 papers, 6 papers with code
Negligible effect of brain MRI data preprocessing for tumor segmentation
Magnetic resonance imaging (MRI) data is heterogeneous due to differences in device manufacturers, scanning protocols, and inter-subject variability.
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia
Focal cortical dysplasia (FCD) is one of the most common epileptogenic lesions associated with cortical development malformations.
Fader Networks for domain adaptation on fMRI: ABIDE-II study
ABIDE is the largest open-source autism spectrum disorder database with both fMRI data and full phenotype description.
Domain Shift in Computer Vision models for MRI data analysis: An Overview
Machine learning and computer vision methods are showing good performance in medical imagery analysis.
Interpretation of 3D CNNs for Brain MRI Data Classification
Deep learning shows high potential for many medical image analysis tasks.
3D Deformable Convolutions for MRI classification
Deep learning convolutional neural networks have proved to be a powerful tool for MRI analysis.
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction
In this work, we aim at predicting children's fluid intelligence scores based on structural T1-weighted MR images from the largest long-term study of brain development and child health.
