Hanyeol_Yang comments

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                                            Hanyeol_Yang

Low AUROC

In model.py, please rewrite code ``` if os.path.isfile(CKPT_PATH): print("=> loading checkpoint") modelCheckpoint = torch.load(CKPT_PATH)['state_dict'] for k in list(modelCheckpoint.keys()): index = k.rindex('.') if (k[index - 1] == '1' or k[index -...

Question about `mri_convert`

Obviously, QuickNAT is implemented with Freesurfer. so I think you must use Freesurfer's mri_convert function.

Question about `mri_convert`

Furthermore, This paper is NOT focused on MRI image's preprocessing.

Unsupervised Domain Adaptation

well, I am interested in same object I try to T1w mri image (2nd column) to T2w mri image (1st column) image translation all model trained mixed T1w and T2w...

Unsupervised Domain Adaptation

This is my best, honestly, This is cherry-picking...

How can i use this function as a Lambda layer in my neural network

> https://github.com/sangeet259/tensorflow_unpooling/blob/e45e03d5df8e7e4b08c3011b55265508c6953594/unpool.py#L20 > > Shows me the following error when i create the model: > pooled_ = tf.reshape(pooled, [input_shape[0] * input_shape[1] * input_shape[2] * input_shape[3]]) > TypeError: unsupported operand type(s)...