3D convolution, de-convolution layers in Flux for training 3D MRI data

question
flux

#1

Are there 3D convolution, de-convolution layers in Flux.jl?
Or is there any implementation that can be used with Flux.jl?

To elaborate I have 3D greyscale images (MRI scans), i.e. each voxel value is a number. Now is there convolutional layer that can accept this kind of input?