Do we need to normalize according to the pretrained model?

[rotemorad]

Hi, I'm using Resnet for classification of MRI and when looking at the tutorials I didn't see normalization as part of the transforms.

Im using MONAIs ResNet, loading pretrained weights from ImageNet.
Pytorch specifically states that "The images have to be loaded in to a range of [0, 1] and then normalized using mean = [0.485, 0.456, 0.406] and std = [0.229, 0.224, 0.225]."

Should I add the normalization or MONAI already handles it?