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eess.IV2021★ 3 cited
Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks
Johan Jönemo, David Abramian, Anders Eklund
Classifying subjects as healthy or diseased using neuroimaging data has gained a lot of attention during the last 10 years. Here we apply deep learning to derivatives from resting…
eess.IV2020
What is the best data augmentation for 3D brain tumor segmentation?
Marco Domenico Cirillo, David Abramian, Anders Eklund
Training segmentation networks requires large annotated datasets, which in medical imaging can be hard to obtain. Despite this fact, data augmentation has in our opinion not been f…
eess.IV2019
Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN
David Abramian, Anders Eklund
Registration between an fMRI volume and a T1-weighted volume is challenging, since fMRI volumes contain geometric distortions. Here we present preliminary results showing that 3D C…