Active shape models—their training and application
Computer Vision and Image Understanding
The Image Foresting Transform: Theory, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding All Maximal Cliques in Dynamic Graphs
Computational Optimization and Applications
Brain tissue MR-image segmentation via optimum-path forest clustering
Computer Vision and Image Understanding
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We present improvements to a recently proposed model-based segmentation strategy, called Clouds. We demonstrate the usefulness of the new model Cloud Bank in the automatic MR-image segmentation of the brain (without medulla and spinal cord), the cerebellum, and each brain hemisphere. These structures are connected in several parts, imposing serious challenges for segmentation. The results indicate that the new model is a fast and accurate tool to eliminate user's intervention or, at least, reduce it to simple corrections, in the context of brain image segmentation.