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Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
For the input file "dti.coo.pkl" does the algorithm expect all the voxels for each ROI for each subject (where number of rows would be n_subjects x n_ROIs x n_voxels in each ROI), or does it expect a single voxel for each ROI, e.g., the center voxel (where number of rows would be n_subjects x n_ROIs x 1).
How to use my own multiview dataset? My dataset has two views representing an object, 10 categories and 30000 objects.Similar to modelnet dataset, but smaller in number.
Thank you very much!
Could you please post the dataset you used? Thank you so much, this means a lot to me!
I have read the train.py code, find that the dimension of ROI coordinates is 2-D. Should the dimension be 3-D in the geometric space? why 2-D?
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