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Publikationen

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  1. Fei Chen; Philipp Slusallek; Martin Müller; Tim Dahmen (Hrsg.)

    Chaldene: Towards Visual Programming Image Processing in Jupyter Notebooks

    IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC-2022), located at VL/HCC 2022, September 12-16, Roma, Italy, ISBN …

  2. Maria Luschkova; Christian Schorr; Tim Dahmen

    Synthetic Training Data Generation for Deep Learning-Based Billet Detection in Rolling Mills

    In: Proceedings of the International Conference on NDE 4.0. International Conference on NDE 4.0 (NDE 4.0), October 24-27, Berlin, Germany, DGzfP, …

  3. Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

    In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

  4. 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.

  5. Pierre Gutierrez; Maria Luschkova; Antoine Cordier; Mustafa Shukor; Mona Schappert; Tim Dahmen

    Synthetic training data generation for deep learning based quality inspection

    Quality Control by Artificial Vision 2021, 2021.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.