Benjamin Wilhelm



  • Martin Weigert, Uwe Schmidt, Tobias Boothe, Andreas Müller, Alexandr Dibrov, Akanksha Jain, Benjamin Wilhelm, Deborah Schmidt, Coleman Broaddus, Siân Culley, Mauricio Rocha-Martins, Fabián Segovia-Miranda, Caren Norden, Ricardo Henriques, Marino Zerial, Michele Solimena, Jochen Rink, Pavel Tomancak, Loic Royer, Florian Jug & Eugene W. Myers. Content-aware image restoration: pushing the limits of fluorescence microscopy. In Nature Methods, 2018 Nov 26.

  • Marcel Lederle and Benjamin Wilhelm. Combining high-level features of raw audio waves and mel-spectrograms for audio tagging. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), Surrey, UK, November 2018.


  • A Review of Recent Improvements of Generative Adversarial Networks. Paper for the seminar "Deep Learning: Recent Developments" at the University of Konstanz. February 2019. PaperSlides

  • Evaluating the Applicability of Transfer Learning for Deep Learning Based Segmentation of Microscope Images. Bachelor's thesis. October 2019. ThesisSlides