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Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models
Published in The MIDAS Journal
Published in The MIDAS Journal
A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers [...]

A patch-based framework for new ITK functionality: Joint fusion, denoising, and non-local super-resolution
Published in The Insight Journal
Published in The Insight Journal
In an earlier Insight Journal article, we introduced an ITK implementation of the adaptive patch-based image denoising algorithm described in [3]. We follow-up up that offering with a generalized non-local, patch-based ITK class framework and a refactored [...]

Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models
Published in The MIDAS Journal
Published in The MIDAS Journal
A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers [...]
