Deep Network Design for Medical Image Computing Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification vertebrae identification and localization cardiac ultrasound image segmentation 2D3D medical image registration for intervention metal artifact reduction sparseview artifact reduction etc. For each topic the book provides a deep learningbased solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture the design of deep learning techniques when to introduce adversarial learning and more.