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Year: 2019
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Displaying results 11 to 20 of 576.

  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. 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.

  7. Amita Singh; Fabian Quint; Patrick Bertram; Martin Ruskowski

    A Framework for Semantic Description and Interoperability across Cyber-Physical Systems

    In: International Journal on Advances in Intelligent Systems (IARIA), Vol. 12, Pages 70-81, IARIA, 2019.

  8. Martin Ruskowski; Tatjana Legler; Michael Beetz; Georg Bartels

    Special Issue on Smart Production

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 33, No. 2, Pages 111-116, Springer, 2019.

  9. Jonas Weigand; Magnus Volkmann; Martin Ruskowski

    Neural Adaptive Control of a Robot Joint Using Secondary Encoders

    In: Karsten Berns; Daniel Görges (Hrsg.). Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2019). International Conference on Robotics in Alpe-Adria-Danube Region (RAAD-2019), June 19-21, Kaiserslautern, Germany, Pages 153-161, Advances in Intelligent Systems and Computing (AISC), Vol. 980, ISBN 978-3-030-19648-6, Springer International Publishing, 2019.

  10. Milos Kravcik; Ivan Cantador

    UMAP 2019 Workshops & Tutorials Overview and Organization

    In: UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2019), June 9-12, Larnaca, Cyprus, Pages 111-113, ISBN 978-1-4503-6711-0, Association for Computing Machinery, New York, NY, United States, 6/2019.

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