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Shape Based Conditional Random Fields for Segmenting Intracranial Aneurysms

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  1. Chapter and Conference Paper

    Layout Consistent Segmentation of 3-D Meshes via Conditional Random Fields and Spatial Ordering Constraints

    We address the problem of 3-D Mesh segmentation for categories of objects with known part structure. Part labels are derived from a semantic interpretation of non-overlap** subsurfaces. Our approach models t...

    Alexander Zouhar, Sajjad Baloch… in Medical Image Computing and Computer-Assis… (2010)

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  2. Chapter and Conference Paper

    Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation

    We propose a shape descriptor for 3D ear impressions, derived from a comprehensive set of anatomical features. Motivated by hearing aid (HA) manufacturing, the selection of the anatomical features is carried o...

    Sajjad Baloch, Rupen Melkisetoglu… in Medical Image Computing and Computer-Assis… (2010)

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  3. Chapter and Conference Paper

    Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images

    Accuracy of automatic cancer diagnosis is largely determined by two factors, namely, the precision of tumor segmentation, and the suitability of extracted features for discrimination between malignancy and ben...

    Yuanjie Zheng, Sajjad Baloch… in Medical Image Computing and Computer-Assis… (2007)

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