r/MachineLearning - [D] How to use Autoencoders on Small Dataset?

Most MRI images datasets are more or less 1000 images where it is divided into two classes of almost equal numbers. Also, I plan on using Deep Convolutional Autoencoders on MRI images on that size. Is there an autoencoder architecture that is able to get good results on small datasets? Any more techniques to do on this kind of problem?