2 papers
eess.IV2025
SST-DUNet: Automated preclinical functional MRI skull stripping using Smart Swin Transformer and Dense UNet
Sima Soltanpour, Rachel Utama, Arnold Chang +5
Skull stripping is a common preprocessing step that is often performed manually in Magnetic Resonance Imaging (MRI) pipelines, including functional MRI (fMRI). This manual process…
eess.IV2024
3D Wasserstein generative adversarial network with dense U-Net based discriminator for preclinical fMRI denoising
Sima Soltanpour, Arnold Chang, Dan Madularu +3
Functional magnetic resonance imaging (fMRI) is extensively used in clinical and preclinical settings to study brain function, however, fMRI data is inherently noisy due to physiol…