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Publikationen

Seite 1 von 3.

  1. Christian Witte; René Schuster; Syed Saqib Bukhari; Patrick Trampert; Didier Stricker; Georg Schneider

    Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving

    In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition …

  2. Patrick Trampert; Dmitri Rubinstein; Faysal Boughorbel; Christian Schlinkmann; Maria Luschkova; Philipp Slusallek; Tim Dahmen; Stefan Sandfeld

    Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

    In: Paolo Olivero (Hrsg.). Crystals, Vol. 11, No. 258, Pages 1-13, MDPI, 3/2021.

  3. Christian Schlinkmann; Michael Roland; Christian Wolff; Patrick Trampert; Philipp Slusallek; Stefan Diebels; Tim Dahmen

    A GPU-based caching strategy for multi-material linear elastic FEM on regular grids

    In: PLOS ONE (PLOS), Vol. 15, No. 10, Pages 1-19, Public Library of Science, 10/2020.

  4. Patrick Trampert; Tim Dahmen; Philipp Slusallek

    Application of Missing Wedge Inpainting in Material Science

    In: Microscopy and Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 8/2019.

  5. Tim Dahmen; Patrick Trampert

    An Adaptive Sparse Sampling Scheme for Scanning Electron Microscopy using Delauney Triangulation

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Microscopy Society of America, 8/2019.

  6. Tim Dahmen; Pavel Potocek; Patrick Trampert; Maurice Peemen; Remco Schoenmakers

    Sparse Scanning Electron Microscopy and Deep Learning for Imaging and Segmentation of Neuron Structures

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 8/2019.

  7. Tim Dahmen; Patrick Trampert

    Sparse and Adaptive Sampling in Scanning Electron Microscopy

    In: Microscopy and Microanalysis, Vol. 25, No. Issue s1 (Proceedings of CISCEM 2018 - the 4th Con, Pages 29-30, Cambridge University Press, 2/2019.

  8. Patrick Trampert; Sabine Schlabach; Tim Dahmen; Philipp Slusallek

    Deep Learning for Sparse Scanning Electron Microscopy

    In: Microscopy and Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 2019.

  9. Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Digital reality: a model-based approach to supervised learning from synthetic data

    In: AI Perspectives, Vol. 1, Pages 1-12, Springer, 2019.

  10. Pavel Potocek; Remco Schoenmakers; Patrick Trampert; Tim Dahmen; Maurice Peemen

    Sparse Scanning Electron Microscopy for Imaging and Segmentation in Connectomics

    In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE International Conference on Bioinformatics and Biomedicine …