Publications

Benjamin Gallusser, and Martin Weigert. Trackastra: Transformer-based cell tracking for live-cell microscopy. European Conference on Computer Vision, 467--484, 2025. [PUMA: ML_Spatial_Understanding imported nopdf]

Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings. In Sridutt Bhalachandra, Christopher Daley, and Verónica Melesse Vergara (Eds.), Springer-Verlag, Berlin, Heidelberg, 2021. [PUMA: 2021 Accelerator Programming WACCPD Zno imported nopdf]

Julian Striegl, Sebastian Rottmann, and Claudia Loitsch. Effectiveness and Acceptance of Conversational Agent-based Psychotherapy for Depression and Anxiety Treatment: Methodological Literature Review. February 2024. [PUMA: imported nopdf]

Clemens Witt, Thiemo Leonhardt, Erik Marx, and Nadine Bergner. From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game. In Zsuzsa Pluhár, and Bence Gaál (Eds.), Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning, 73--84, Springer Nature Switzerland, Cham, 2025. [PUMA: imported nopdf]

Sarah von Löhneysen, Thomas Spicher, Yuliia Varenyk, Hua-Ting Yao, Ronny Lorenz, Ivo Hofacker, and Peter F Stadler. Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction. Journal of Computational Biology, (31)6:549--563, Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…, 2024. [PUMA: imported nopdf]

Daniel Merkle, and Peter F Stadler. On the Realisability of Chemical Pathways. Bioinformatics Research and Applications: 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9--12, 2023, Proceedings, (14248):409, 2023. [PUMA: imported nopdf]

C Schultz, S Bernhart, J Gnauck, DI Valdivia, A Stubenvoll, H Betat, M Moerl, PF Stadler, and M Kunz. Melanoma development: linking tRNA composition to mRNA expression. EXPERIMENTAL DERMATOLOGY, (33)32024. [PUMA: imported nopdf]

Charlotte Beylier, Nico Scherf, and Christian F Doeller. The development of representations in artificial agents. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Charlotte Beylier, Nico Scherf, Christian F Doeller, and Nicholas Menghi. Representation in machine learning: A neuro-cognitive approach. French-German Research and Innovation Network for AI workshop, 2022. [PUMA: imported nopdf]

Ferney Beltran Velandia, Martin Bogdan, Nico Scherf, and Marc Schönwiesner. Modelling the olfactory system using spiking neural networks with synaptic dynamics to study drifting in electronic noses. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Nico Scherf. Machine learning in computational microscopy. 11th IMPRS NeuroCom Summer School, 2022. [PUMA: imported nopdf]

Nadine Herzog, Luka Elliott Joonatan Vähäsarja, Pia Reinfeld, Nico Scherf, Simon M Hofmann, Christina Andreou, Arno Villringer, and Christoph Mulert. From Surface to Depth: using deep learning to predict striatal fMRI reward signaling in the EEG. OSF, 2024. [PUMA: imported nopdf]

Charlotte Beylier, Nico Scherf, Christian F Doeller, and Nicholas Menghi. From manifolds to thoughts. 11th IMPRS NeuroCom Summer School, 2022. [PUMA: imported nopdf]

Nico Scherf. Einige Gedanken und Fragen zum Umgang mit und zur Veröffentlichung von Bioimaging-Datenanalysen. 5. FDM-Workshop 2022, 2022. [PUMA: imported nopdf]

Mahsa Zoraghi, Nico Scherf, Carsten Jaeger, Ingolf Sack, Sebastian Hirsch, Stefan Hetzer, and Nikolaus Weiskopf. Effect of brain tissue deformation on functional MRI signal variations assessed using biomechanical simulations. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 2022. [PUMA: imported nopdf]

Nico Scherf. Computer statt Mensch: Kann KI unsere Probleme lösen?. Hessischer Rundfunk (hr), 2022. [PUMA: imported nopdf]

Nicholas Menghi, Charlotte Beylier, Nico Scherf, Burkhard Maess, and Christian F Doeller. Aligning and transferring knowledge across domains. Scientific Advisory Board (SAB) Meeting, 2023. [PUMA: imported nopdf]

Nico Scherf. A gentle introduction to deep learning. 11th IMPRS NeuroCom Summer School, 2022. [PUMA: imported nopdf]

Peter Pennitz, Vincent Friedrich, Emanuel Wyler, Julia Adler, D Postmus, Sandro Andreotti, L Teixeira-Alves, Julia Kazmierski, F Pott, T Hoefler, Cengiz Gökeri, Markus Landthaler, Christine Goffinet, Jakob Trimpert, M Scholz, Martin Witzenrath, Holger Kirsten, and Geraldine Nouailles. Interspecies analysis to dissect cellular transcriptomic signatures of humans and hamsters in COVID-19. Pneumologie, (77)March 2023. [PUMA: imported nopdf]

Matti Berthold, and Markus Ulbricht. On Forgetting in Assumption-Based Argumentation. 235-261, October 2024. [PUMA: imported nopdf]