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tsaftarislab.github.io
PublicBMFT
PublicMRI_Active_Sampling
PublicReconstructionFairness
PublicvMFNet-Journal
PublicDiff-SCM
PublicDiffAN
Publicdisentanglement_tutorial
PublicThis repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.vMFNet
PublicDGNet
Public- This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations.
multiscale-pyag
Public- This repository has been created to improve the young researchers' experience when using cardiac data for any medical imaging application. It consists of transformers that reorganize a DICOM-based dataset into traditional image dataset structure for better dataloader exploitation.
DAA-GAN
Publicmultimodal_segmentation
Publicinside
PublicRA_FA_Cardiac
PublicBrainAgeing
PublicMFU-Net
PublicAPDNet
Publicpseudo-healthy-synthesis
PublicLeaf-Counting
Public