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  1. No Access

    Chapter and Conference Paper

    Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

    Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet the clinical use and typically require further refinement. In this work, we propose a quali...

    Tianfei Zhou, Liulei Li, Gustav Bredell… in Medical Image Computing and Computer Assis… (2021)

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    Chapter and Conference Paper

    High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI

    Imaging plays a crucial role in treatment planning for lumbar spine related problems. Magnetic Resonance Imaging (MRI) in particular holds great potential for visualizing soft tissue and, to a lesser extent, t...

    Federico Turella, Gustav Bredell… in Medical Image Computing and Computer Assis… (2021)

  3. No Access

    Chapter and Conference Paper

    Iterative Interaction Training for Segmentation Editing Networks

    Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency. Nevertheless often users want to edit the segmentation to their own needs and wil...

    Gustav Bredell, Christine Tanner, Ender Konukoglu in Machine Learning in Medical Imaging (2018)