Publikationen

• B. Schindler, D. Günzel, T. Schmid
  Variational In-Silico Tissue Modelling Using Two-Path Impedance Spectroscopy and Normalizing Flows | LINK
  

  Proceedings of the 23rd International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT), 2023

• M. Mendikowski, B. Schindler, T. Schmid, R. Möller, M. Hattis
  Improved Techniques for Training Tabular GANs Using Cramer’s V Statistics | LINK
  

  Proceedings of the 36th Canadian Conference on Artificial Intelligence (CANAI), 2023

• B. Schindler, D. Günzel, T. Schmid
  Neural Noise Module: Automated Error Modeling Using Adversarial Neural Networks | LINK
  

  Proceedings of the International Conference on Bioelectromagnetism, Electrical Bioimpedance, and Electrical Impedance Tomography 2022
  

• B. Schindler, D. Günzel, T. Schmid
  Transcending Two-Path Impedance Spectroscopy with Machine Learning: A Computational Study on Modeling and Quantifying Electric Bipolarity of Epithelia | LINK
  

  International Journal on Advances in Life Sciences 13(3-4), S. 134-148, 2021

• L. Jurkschat, B. Schindler
  Building a GAN for Replicating Epithelial Impedance Spectra for ML-based Pattern Recognition | LINK
  

  Tagungsband SKILL 2021. Gesellschaft für Informatik, Bonn. S. 151-156, 2021.

• V. S. Adama, B. Schindler, T. Schmid
  Using Time Domain and Pearson’s Correlation to Predict Attention Focus in Autistic Spectrum Disorder from EEG P300 Components | LINK
  

  Proceedings of the XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. IFMBE Proceedings Vol. 76. Springer, S. 1890-1893, 2019