BrainMapperUNet.py 989 Bytes
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"""Brain Mapper U-Net Architecture

Description:
-------------
This folder contains the Pytorch implementation of the core U-net architecture.
This arcitecture predicts functional connectivity rsfMRI from structural connectivity information from dMRI.

Usage
-------------
To use this module, import it and instantiate is as you wish:

    from BrainMapperUNet import BrainMapperUNet
    deep_learning_model = BrainMapperUnet(parameters)

"""

import numpy as np
import torch
import torch.nn as nn

class BrainMapperUnet(nn.Module):
    """
    Description
    """
    
    def __init__(self, parameters):
        pass

    def forward(self, X):
        """
        Description
        """
        return None

    def enable_test_dropout(self):
        """
        Description
        """
        return None
    
    def save(self, path):
        """
        Description
        """
        pass

    def predict(self, X):
        """
        Description
        """
        return None