Search Results for author: Pejman Jahbedar Maralani

Found 2 papers, 1 papers with code

Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI

no code implementations • 7 Jul 2023 • Abdollah Ghazvanchahi, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi

Results show IAMLAB and Ensemble provide higher WML segmentation performance compared to models from original data or other normalization methods.

Segmentation

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MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer

1 code implementation • 11 Mar 2023 • Samir Mitha, Seungho Choe, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi

For images with high resolution (HR) ground truths, peak-signal-to-noise-ratio (PSNR) and structural similarity index (SSIM) are used to measure upsampling performance.

Generative Adversarial Network SSIM +1

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