Search Results for author:
Found 8 papers, 5 papers with code
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.
Data-driven models and computational tools for neurolinguistics: a language technology perspective
In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics.
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.
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry
We consider a problem of diagnostic pattern recognition/classification from neuroimaging data.
fMRI: preprocessing, classification and pattern recognition
As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment outcome prediction for psychiatric and neurological disorders, for instance, epilepsy and depression.
