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Year: 2019
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Displaying results 61 to 70 of 572.

  1. 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, …

  2. 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, …

  3. 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 …

  4. 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.

  5. 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 …

  6. Noshaba Cheema

    In Silico User Testing for Mid-Air Interactions with Deep Reinforcement Learning

    Mastersthesis, Saarland University, 9/2019.

  7. Noshaba Cheema

    Fine-Grained Semantic Segmentation of Motion Capture Data using Convolutional Neural Networks

    Mastersthesis, Saarland University, 3/2019.

  8. Zeyuan Shang; Emanuel Zgraggen; Benedetto Buratti; Ferdinand Kossmann; Philipp Eichmann; Yeounoh Chung; Carsten Binnig; Eli Upfal; Tim Kraska

    Democratizing Data Science through Interactive Curation of ML Pipelines

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on …

  9. Benjamin Hättasch; Christian M. Meyer; Carsten Binnig

    Interactive Summarization of Large Document Collections

    In: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2019. Workshop on Human-In-the-Loop Data Analytics (HILDA-2019), …

  10. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for …

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