Hi @Pcamellon,
Yes, you can train your model with 16 bits tensors, remember that in an image you can only  have [0, 255] value (i.e. 8 bits).
The usual approach is apply the window and save the image for feed the network with that images (you can Resize, and use the torch.transforms with that images) but if you want to use the original hounsfield values, you can write your own loader for the dicom files.
Also remember that the transformation ToTensor() normalize the images between [0, 1]. Torch will normalize [0, 65536] → [0, 1] or [0, 255] → [0, 1].
Hope this helps you.