Quantitative analysis of plant and animal morphogenesis requires accurate segmentation of
individual cells in volumetric images of growing organs. In the last years, deep learning has …

For the segmentation of moving objects in videos, the analysis of long-term point trajectories
has been very popular recently. In this paper, we formulate the segmentation of a video …

Cell segmentation plays a crucial role in understanding, diagnosing, and treating diseases.
Despite the recent success of deep learning-based cell segmentation methods, it remains …

Szeliski et al. published an influential study in 2006 on energy minimization methods for
Markov random fields. This study provided valuable insights in choosing the best …

Abstract Formulations of the Image Decomposition Problem as a Multicut Problem (MP) wrt a
superpixel graph have received considerable attention. In contrast, instances of the MP wrt a …

A fundamental question in biology is how morphogenesis integrates the multitude of
processes that act at different scales, ranging from the molecular control of gene expression …

Tissue morphogenesis results from a tight interplay between gene expression, biochemical
signaling and mechanics. Although sequencing methods allow the generation of cell …

In this work, we describe a method for large-scale 3D cell-tracking through a segmentation
selection approach. The proposed method is effective at tracking cells across large …

Seven years ago, Szeliski et al. published an influential study on energy minimization
methods for Markov random fields (MRF). This study provided valuable insights in choosing …

Recently, Minimum Cost Multicut Formulations have been proposed and proven to be
successful in both motion trajectory segmentation and multi-target tracking scenarios. Both …