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Segmentation is a fundamental aspect of image processing with many important applications, such as contouring in medical imaging. The variational approach has been widely used to partition 2D and 3D data in numerous practical settings, but effectively incorporating specific knowledge of the target object(s) continues to be a significant challenge. This minisymposium will address recent advances in variational methods for segmentation, considering a wide range of techniques. The work is primarily motivated by associated applications; a number of which which will be discussed in detail.