图像重建matlab源代码-Invfool:与论文“关于图像重建中的深度学习的不稳定性-人工智能付出代价吗？”论文相关的代码。
图像重建matlab源代码关于图像重建中深度学习的不稳定性-人工智能是否要付出代价？
该存储库包含来自V.Antun，F.Renna，C.Poon，B.Adcock和A.Hansen的论文“关于图像重建中深度学习的不稳定性-AI付出代价吗？”中的代码。
为了使此代码运行，您将必须下载并安装我们考虑过的神经网络。
可以从（4.9
GB）下载大多数必要的数据。
请注意，您将必须修改源文件中的所有路径，以便它们指向数据。
您还需要将目录py_adv_tools添加到python路径。
对于最先进的重建，我们使用了J.
Ma＆M.März论文和的代码。
这些存储库也必须下载并添加到您的Matlab路径中。
FBPConvNet-Ell
50和Med
50
要测试FBPConvNet，您必须下载并安装，然后在matlab路径上添加这些存储库。
然后，您应该可以从invfool
/
FBPConvNet目录中运行脚本。
深度MRI网
下载并安装并将其添加到您的pythonpath中。
请注意，要运行DeepMRINet，您需要一个非常特定的Theano和Lasagne版本。
有关此的更多信息，请参
文件下载
资源详情
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