This presentation introduces the problem of missing modalities, and draws a parallel between ‘channels’ in computer vision to ‘modalities’ or ‘sequences’ in medical imaging. I talk about the two fundamental ways with which robustness to missing inputs can be achieved, and present state-of-art methods for both. Specifically, I present two papers HeMIS and MM-Synthesis that approach the problem in two different ways.