Referenzen

Unsere Erfahrungen

  • 10 Jahre aktive KI Forschung (Czech Technical University in Prague)
  • Publikationen in Top KI Konferenzen und Journalen
  • Angewandte KI Projekte u.a. in den Bereichen medizinische Bildanalyse und Remote Sensing

Projekte (Auswahl)

  • Fernerkundung: Enhanced Spatiotemporal Land Change Monitoring Based on Sentinel-2 Time Series and VHR Images, gemeinsam mit Mapradix s.r.o. Prag, (2022-2025), finanziert durch: European Space Agency. (siehe [1])
  • Zelltracking: Joint segmentation, detection and cell tracking (2015-2018), gefördert im "Cells-in-Motion (CiM) Cluster of Excellence", Universität Münster, [5,6]. (mehr)

Publikationen (Auswahl)

  1. B Flach, T Dlask, L Brodský, Semi-Supervised Learning for Spatio-Temporal Landcover Monitoring, IEEE Geoscience and Remote Sensing Letters, vol. 22, pp. 1-5, 2025, [DOI]
  2. B Flach, D Schlesinger, A Shekhovtsov, Symmetric Equilibrium Learning of VAEs, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics 2024, pp. 3214--3222
  3. A Shekhovtsov, D Schlesinger, B Flach, VAE approximation error: ELBO and exponential families, International Conference on Learning representations, 2022
  4. A Shekhovtsov, V Yanush, B Flach, Path sample-analytic gradient estimators for stochastic binary networks, Advances in Neural Information Processing Systems 33 (NeurIPS 2020), pp. 12884--12894
  5. Sixta, T., Cao, J., Seebach, J., Schnittler, H., Flach, B. (2020). Coupling cell detection and tracking by temporal feedback. Machine Vision and Applications, 31(4). [DOI]
  6. Cao, J., Ehling, M., März, S., ... , Flach B., ..., Polarized actin and VE-cadherin dynamics regulate junctional remodelling and cell migration during sprouting angiogenesis. Nature Communications v8, 2210 (2017). [DOI]