Skip to main content Skip to main navigation

Publications

Displaying results 291 to 300 of 647.
  1. 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.

  2. 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.

  3. 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.

  4. A Survey of Graphical Page Object Detection with Deep Neural Networks

    In: Applied Sciences, Vol. 11, No. 12, Pages 1-21, MDPI, Basel, Switzerland, 6/2021.

  5. Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

    In: Radu Danescu (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 21, No. 15, Pages 1-30, MDPI, 2021.

  6. A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities

    In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021), June 8-11, Eindhoven/Virtual, Netherlands, EICS '21, ISBN 9781450384490, Association for Computing Machinery, 2021.

  7. Khurram Azeem Hashmi; Marcus Liwicki; Didier Stricker; Muhammad Adnan Afzal; Muhammad Ahtsham Afzal; Muhammad Zeshan Afzal

    Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

    In: IEEE Access, Vol. 9, Pages 87663-87685, IEEE, 6/2021.

  8. Nareg Minaskan Karabid; Alain Pagani; Charles-Alban Dormoy; Jean-Marc Andre; Didier Stricker

    A Study of Human-Machine Teaming For Single Pilot Operation with Augmented Reality

    In: IEEE Adjunct Proceeding of International Symposium on Mixed and Augmented Reality. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-21), October 4-8, Bari/Virtual, Italy, IEEE, 2021.

  9. 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.