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Journal Article (3)

  1. 2019
    Journal Article
    Burek, P.; Scherf, N.; Herre, H.: Ontology patterns for the representation of quality changes of cells in time. Journal of Biomedical Semantics 10, 16 (2019)
  2. 2018
    Journal Article
    Morawski, M.; Kirilina, E.; Scherf, N.; Jäger, C.; Reimann, K.; Trampel, R.; Gavriilidis, F.; Geyer, S.; Biedermann, B.; Arendt, T. et al.; Weiskopf, N.: Developing 3D microscopy with CLARITY on human brain tissue: Towards a tool for informing and validating MRI-based histology. NeuroImage 182, pp. 417 - 428 (2018)
  3. 2017
    Journal Article
    Weber, M.; Scherf, N.; Meyer, A. M.; Panáková, D.; Kohl, P.; Huisken, J.: Cell-accurate optical mapping across the entire developing heart. eLife 6 (2017)

Conference Paper (2)

  1. 2019
    Conference Paper
    De Back , W.; Seurig, S.; Wagner, S.; Marre, B.; Roeder, I.; Scherf, N.: Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging. In: Proceedings of the 2019 International Conference on Medical Imaging with Deep Learning (MIDL). (2019)
  2. 2018
    Conference Paper
    Thierbach, K.; Bazin, P.-L.; de Back, W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. In: Machine Learning in Medical Imaging 2018, pp. 179 - 187. 9th International Workshop on Machine Learning in Medical Imaging, Granada, Spain, September 16, 2018. Springer, Cham (2018)

Meeting Abstract (1)

  1. 2018
    Meeting Abstract
    Brammerloh, M.; Weigelt, I.; Arendt, T.; Gavriilidis, F.; Scherf, N.; Jankuhn, S.; Morawski, M.; Weiskopf, N.; Kirilina, E.: Iron-induced relaxation mechanisms in the human substantia nigra: Towards quantifying iron load in dopaminergic neurons. In Proceedings of the ISMRM 26th Annual Meeting & Exhibition. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris Expo Porte de Versailles, June 16, 2018 - June 21, 2019. (2018)

Poster (2)

  1. 2019
    Poster
    Podranski, K.; Zhang, R.; Thierbach, K.; Thieleking, R.; Witte, A. V.; Villringer, A.; Weiskopf, N.; Scherf, N.: Detecting fat artifacts in diffusion MRI with deep learning. 9th IMPRS NeuroCom Summer School, Leipzig, Germany (2019)
  2. 2018
    Poster
    Podranski, K.; Scherf, N.; Weiskopf, N.: Improving high-resolution qunatitative MRI maps for in-vivo histology MRI of the human brain. Medical Imaging Summer School 2018 - Medical Imaging Meets Deep Learning, Favignana, Italy (2018)

Working Paper (2)

  1. 2018
    Working Paper
    Thierbach, K.; Bazin, P.-L.; De Back , W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. BioRxiv (2018)
  2. 2017
    Working Paper
    Shah, G.; Thierbach, K.; Schmid, B.; Reade, A.; Roeder, I.; Scherf, N.; Huisken, J.: Pan-embryo cell dynamics of germlayer formation in zebrafish. bioRxiv (2017)

Manuscript (1)

  1. 2019
    Manuscript
    Kloenne, M.; Niehaus, S.; Lampe, L.; Merola, A.; Reinelt, J.; Scherf, N.: A framework for CT image segmentation inspired by the clinical environment. arXiv (2019)
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