Trans-cGAN: transformer-Unet-based generative adversarial networks for cross-modality magnetic resonance image synthesis [Paper]: (https://doi.org/10.1007/s11222-023-10282-8)

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
results		results
README.md		README.md
blocks.py		blocks.py
config.py		config.py
dataset.py		dataset.py
discriminator_model.py		discriminator_model.py
discriminator_model_update.py		discriminator_model_update.py
generator_model.py		generator_model.py
generator_model_MSA_SE.py		generator_model_MSA_SE.py
generator_model_attention.py		generator_model_attention.py
generator_model_hybrid.py		generator_model_hybrid.py
generator_model_self_attention.py		generator_model_self_attention.py
generator_model_transformer.py		generator_model_transformer.py
loss.py		loss.py
predict.py		predict.py
spectral.py		spectral.py
train.py		train.py
train_perceptual_loss.py		train_perceptual_loss.py
train_pix.py		train_pix.py
train_transcgan.py		train_transcgan.py
train_update.py		train_update.py
train_wganloss.py		train_wganloss.py
utils.py		utils.py

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