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10/20/2021
Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks
Classifying subjects as healthy or diseased using neuroimaging data has ...
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10/26/2020
What is the best data augmentation approach for brain tumor segmentation using 3D U-Net?
Training segmentation networks requires large annotated datasets, which ...
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10/18/2019
Anatomically informed Bayesian spatial priors for fMRI analysis
Existing Bayesian spatial priors for functional magnetic resonance imagi...
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07/19/2019
Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN
Registration between an fMRI volume and a T1-weighted volume is challeng...
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10/15/2018