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  1. No Access

    Chapter and Conference Paper

    Robust and Efficient Triangulation of Anatomical Surfaces from Medical Images

    There are numerous techniques for obtaining surface triangulations from 3D image data. Some applications require efficient triangulations, i.e. the source data should be represented as accurately as possible w...

    Matthias Meyer, Cristian Lorenz, Vladimir Pekar in Bildverarbeitung für die Medizin 2005 (2005)

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    Chapter and Conference Paper

    Integration of Interactive Corrections to Model-Based Segmentation Algorithms

    3D deformable shape models have become a common approach for solving complex segmentation tasks in medical image processing. Nevertheless sometimes the segmentation fails due to low image resolution or contras...

    Holger Timinger, Vladimir Pekar, Jens von Berg in Bildverarbeitung für die Medizin 2003 (2003)

  3. No Access

    Chapter and Conference Paper

    Shape Constrained Deformable Models for 3D Medical Image Segmentation

    To improve the robustness of segmentation methods, more and more methods use prior knowledge. We present an approach which embeds an active shape model into an elastically deformable surface model, and combine...

    Jürgen Weese, Michael Kaus, Christian Lorenz in Information Processing in Medical Imaging (2001)

  4. Chapter and Conference Paper

    Adaptive template moderated spatially varying statistical classification

    A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy. The new algorithm is a form of spatially varying classification (SVC), in which an ex...

    Simon K. Warfield, Michael Kaus in Medical Image Computing and Computer-Assis… (1998)

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    Article

    Endogene Porphyrine zur photodynamischen Therapie des Nachstars in vitro

    Antonia M. Joussen, Friedrich E. Kruse, Michael Kaus, Hans E. Völcker in Der Ophthalmologe (1997)