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eess.IV2021
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 Challenge
Syed Talha Bukhari, Hassan Mohy-ud-Din
Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performance in medical image segmentation tasks. A common feature in most top-performing CNNs is an encoder-…
eess.IV2021
Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images
Sana Jabbar, Syed Talha Bukhari, Hassan Mohy-ud-Din
We proposed a multi-view SA-LA model for simultaneous segmentation of RV on the short-axis (SA) and long-axis (LA) cardiac MR images. The multi-view SA-LA model is a multi-encoder,…