nobrainer
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neuronets
A framework for developing neural network models for 3D image processing.
Consider implementing https://arxiv.org/abs/1908.00748 > ### Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization > In many medical image analysis applications, often only a limited amount of training...
https://github.com/tensorflow/mesh Useful if: > The parameters of the model do not fit on one device - e.g. a 5-billion-parameter language model. > An example is so large that the activations...
I think that building upon utils.get_data for aggregating larger and more versatile training-sets would help to make nobrainer even easier to implement, widen the types of use-cases (e.g. B0 masks...
https://github.com/xuuuuuuchen/Active-Contour-Loss/blob/master/Active-Contour-Loss.py
Paper at https://arxiv.org/pdf/2001.07645v3.pdf and pytorch code at https://github.com/sunjesse/shape-attentive-unet This modifies the U-Net architecture and achieves state-of-the-art performance on cardiac MRI.
consider implementing parts of https://arxiv.org/abs/1902.09383
I tried to run nobrainer within the singularity container(nobrainer_latest-gpu.sif), but I am getting this error when trying to run the first nobrainer command: This system supports the C.UTF-8 locale which...
I wonder whether you could add `singularity` commands for quick demonstration in the `Usage` section. Currently it only has information for docker and command line.
I am attempting to perform transfer learning on the existing nobrainer model weights by synthesizing a training dataset complied with manual edits to the brain mask. My first attempt made...
Progressive training has shown promising results in GANs (https://arxiv.org/pdf/1710.10196.pdf). Let's try this out with a U-Net. The general idea would be to begin training on low-resolution scans and progressively add...