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Publications

Displaying results 1821 to 1830 of 15158.

  1. Jens Krauth; Stefan Gerlach; Christian Marzahl; Jörn Voigt; Heinz Handels

    Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies

    In: Heinz Handels; Thomas M. Deserno; Andreas Maier; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff (Hrsg.). Bildverarbeitung für die Medizin 2019. Workshop Bildverarbeitung für die Medizin (BVM-2019), March 20-22, Lübeck, Germany, Pages 37-42, ISBN 978-3-658-25326-4, Springer Fachmedien Wiesbaden, 2019.

  2. Sandra Schultz; Julia Krüger; Heinz Handels; Jan Ehrhardt

    Bayesian inference for uncertainty quantification in point-based deformable image registration

    In: Elsa D. Angelini; Bennett A. Landman (Hrsg.). Medical Imaging 2019: Image Processing. SPIE Medical Imaging, February 16-21, San Diego, California, USA, Pages 459-466, Vol. 10949, SPIE, 2019.

  3. Julia Krüger; Jan Ehrhardt; Sandra Schultz; Heinz Handels

    A probabilistic approach for the registration of images with missing correspondences

    In: Elsa D. Angelini; Bennett A. Landman (Hrsg.). Medical Imaging 2019: Image Processing. SPIE Medical Imaging, February 16-21, San Diego, California, USA, Pages 550-557, Vol. 10949, SPIE, 2019.

  4. Timo Kepp; Jan Ehrhardt; Mattias P. Heinrich; Gereon Hüttmann; Heinz Handels

    Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks

    In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE International Symposium on Biomedical Imaging (ISBI-2019), April 8-11, Venice, Italy, Pages 1437-1440, IEEE, 2019.

  5. Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Gereon Hüttmann; Nunciada Salma; Dieter Manstein; Mattias P. Heinrich; Heinz Handels

    Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks

    In: Christoph Hitzenberger (Hrsg.). Biomedical Optics Express, Vol. 10, No. 7, Pages 3484-3496, OSA, 7/2019.

  6. Julia Krüger; Sandra Schultz; Heinz Handels; Jan Ehrhardt

    Registration with probabilistic correspondences - Accurate and robust registration for pathological and inhomogeneous medical data

    In: N. Paragios; B. Caputo; G. Hua; R. Vidal (Hrsg.). Computer Vision and Image Understanding, Vol. 190, Pages 1-15, Elsevier, 2020.

  7. Niclas Kath; Heinz Handels; Andre Mastmeyer

    Robust GPU-based virtual reality simulation of radio-frequency ablations for various needle geometries and locations

    In: H.U. Lemke; Franziska Schweikert (Hrsg.). International journal of computer assisted radiology and surgery (IJCARS), Vol. 14, No. 11, Pages 1825-1835, Springer, 2019.

  8. Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P Heinrich; Heinz Handels

    Segmentation of retinal low-cost optical coherence tomography images using deep learning

    In: Horst K. Hahn; Maciej A. Mazurowski (Hrsg.). Medical Imaging 2020: Computer-Aided Diagnosis. SPIE Medical Imaging, located at SPIE medical Imaging, February 15-20, Houston, Texas, USA, Vol. 11314, ISBN 978151063395, SPIE, 2020.

  9. Fangwen Shu; Yaxu Xie; Jason Raphael Rambach; Alain Pagani; Didier Stricker

    Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction

    In: IEEE. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2021), October 4-8, Bari, Italy, IEEE, 2021.

  10. Aaron Carass; Snehashis Roy; Adrian Gherman; Jacob C Reinhold; Andrew Jesson; Tal Arbel; Oskar Maier; Heinz Handels; Mohsen Ghafoorian; Bram Platel; others

    Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis

    In: Richard White; Giampiero Accardo; Rafal Marszalek; Christian Matheou; Eve Rooks; Elizabeth Mann; Madushi Wanaguru; Silvia Butera; Antonia Eisenkoeck; João Leite; Claire Potter (Hrsg.). Scientific reports (Sci Rep), Vol. 10, No. 1, Pages 1-19, Nature Publishing Group, 2020.

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