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This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scal...

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Hello, I am Natalia Cantavella and I was reading your code to try to identify how you segmented the edges. I am involved in a project about segmenting the putamen,...

Hi josedolz, So sorry to bother you. I am trying to use your network to do some experiment. But I find that when I train my own model. The cost...

` ============== EPOCH: 1/3 ================= --- SubEPOCH: 1/2 ... Get samples for subEpoch... Traceback (most recent call last): File "./networkTraining.py", line 82, in networkTraining(sys.argv[1:]) File "./networkTraining.py", line 77, in networkTraining...

![Screenshot from 2019-04-15 14-29-41](https://user-images.githubusercontent.com/31303314/56121821-9a494a80-5f8e-11e9-9624-f7f43f20a017.png)

* plus minor fixes (proposals)

Hi @josedolz, you mentioned in your paper that for pre-processing you applied volume-wise intensity normalization, bias-field correction and skull striping. From my understanding, this is not included in this repository...

Dear, It is possible to get the version of LiviaNet that was specifically trained for cerebellar lobules parcellation ? Thanks in advance, Best, Maxime dieudonné

Hello, how are you doing today? I am so interested in your profile, and I want to connect with you. Looking forward to hearing from you. Regards Andres