I am interested in applying Deep Learning for fMRI( 4D) and MRI (3D) data for disease classification. I want to use the data as 3D or 4D, but not convert them into 2D images. I have seen some online resources with code, in which they used input as 2D images. I also want to use transfer learning.
Q1.) Would any one provide some resources( probably with code) to build neural networks for fMRI and MRI ?
Q2.) As these images are 3D and 4D and networks used for transfer learning were trained on 2D images, how should I proceed to apply them on MRI and fMRI data.
I am really struggling from past two weeks on these issues. It would be really helpful, if some one provide some pointers.