Human brain atlases have been evolving tremendously, propelled recently by brain big
projects, and driven by sophisticated imaging techniques, advanced brain mapping …

Accurate pancreas segmentation from medical images is an important yet challenging
problem for medical image analysis and medical surgery. Challenges relating to the …

Background Contouring of anatomical regions is a crucial step in the medical workflow and
is both time-consuming and prone to intra-and inter-observer variability. This study …

An algorithm for automatic spinal pedicle screw planning is reported and evaluated in
simulation and first clinical studies. A statistical atlas of the lumbar spine (N= 40 members) …

Atlas-based automatic segmentation is used in radiotherapy planning to accelerate the
delineation of organs at risk (OARs). Atlas selection has been proposed as a way to improve …

Segmentation of medical images using multiple atlases has recently gained immense
attention due to their augmented robustness against variabilities across different subjects …

Human brain atlases are tools to gather, present, use, and discover knowledge about the
human brain. The developments in brain atlases parallel the advances in neuroanatomy …

Multi-atlas-based segmentation (MAS) methods have demonstrated superior performance in
the field of automatic image segmentation, and label fusion is an important part of MAS …

Background and purpose Automatic delineations are often used as a starting point in the
radiotherapy contouring workflow, after which they are manually reviewed and adapted. The …

Purpose Manual delineation of head and neck (H&N) organ‐at‐risk (OAR) structures for
radiation therapy planning is time consuming and highly variable. Therefore, we developed …