Look @ "Learning with Hierarchical-Deep Models" from Ruslan Salakhutdinov, Joshua B. Tenenbaum, and Antonio Torralba

http://www.utstat.toronto.edu/~rsalakhu/papers/pami_submit.pdf

I suggest "Image mining" with SVM and AdaBoost. In particular take a look at :

-W. Hsu, M. L. Lee, and J. Zhang, “Image mining: Trends and developments,”

and at applications on MRIs:

-M. Kakimoto, C. Morita, Y. Kikuchi, and H. Tsukimoto, “Data mining from functional brain images.”

-J. H. Morra, Z. Tu, L. G. Apostolova, A. E. Green, A. W. Toga, and P. M. Thompson, “Comparison of adaboost and support vector machines for detecting alzheimer’s disease through automated hippocampal segmentation,”

Regards.