Publications by authors named "Mahsa Dibaji"
Front Comput Neurosci
November 2024
Article Synopsis
- - This study uses deep learning to analyze sex differences in brain MRI data, involving 3D images from four diverse datasets while maintaining balanced representation in sex and demographics.
- - A Convolutional Neural Network model achieved 87% accuracy in sex classification without adjusting for total intracranial volume, revealing some biases related to brain size but performing better with overlapping TIV distributions.
- - The research highlighted key brain regions important for sex differentiation and aims to inform strategies for reducing bias in medical imaging, ultimately contributing to fairer AI algorithms and healthcare outcomes.
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