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2Trackastra: Transformer-based cell tracking for live-cell microscopy
B. Gallusser, and M. Weigert. European Conference on Computer Vision, page 467--484. Springer, (2025)
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1Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings
S. Bhalachandra, C. Daley, and V. Vergara (Eds.) Berlin, Heidelberg, Springer-Verlag, (2021)
2 months ago by @scadsfct
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1Effectiveness and Acceptance of Conversational Agent-based Psychotherapy for Depression and Anxiety Treatment: Methodological Literature Review
J. Striegl, S. Rottmann, and C. Loitsch. (February 2024)
3 months ago by @scadsfct
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1From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
C. Witt, T. Leonhardt, E. Marx, and N. Bergner. Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning, page 73--84. Cham, Springer Nature Switzerland, (2025)
3 months ago by @scadsfct
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1Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction
S. von Löhneysen, T. Spicher, Y. Varenyk, H. Yao, R. Lorenz, I. Hofacker, and P. Stadler. Journal of Computational Biology, 31 (6): 549--563 (2024)
3 months ago by @scadsfct
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1On the Realisability of Chemical Pathways
D. Merkle, and P. Stadler. Bioinformatics Research and Applications: 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9--12, 2023, Proceedings, 14248, page 409. Springer Nature, (2023)
3 months ago by @scadsfct
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1Melanoma development: linking tRNA composition to mRNA expression
C. Schultz, S. Bernhart, J. Gnauck, D. Valdivia, A. Stubenvoll, H. Betat, M. Moerl, P. Stadler, and M. Kunz. EXPERIMENTAL DERMATOLOGY, 33, WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, (2024)
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1The development of representations in artificial agents
C. Beylier, N. Scherf, and C. Doeller. Scientific Advisory Board (SAB) Meeting, (2023)
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1Representation in machine learning: A neuro-cognitive approach
C. Beylier, N. Scherf, C. Doeller, and N. Menghi. French-German Research and Innovation Network for AI workshop, (2022)
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1Modelling the olfactory system using spiking neural networks with synaptic dynamics to study drifting in electronic noses
F. Beltran Velandia, M. Bogdan, N. Scherf, and M. Schönwiesner. Scientific Advisory Board (SAB) Meeting, (2023)
3 months ago by @scadsfct
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1Machine learning in computational microscopy
N. Scherf. 11th IMPRS NeuroCom Summer School, (2022)
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1From Surface to Depth: using deep learning to predict striatal fMRI reward signaling in the EEG
N. Herzog, L. Vähäsarja, P. Reinfeld, N. Scherf, S. Hofmann, C. Andreou, A. Villringer, and C. Mulert. (2024)
3 months ago by @scadsfct
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1From manifolds to thoughts
C. Beylier, N. Scherf, C. Doeller, and N. Menghi. 11th IMPRS NeuroCom Summer School, (2022)
3 months ago by @scadsfct
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1Einige Gedanken und Fragen zum Umgang mit und zur Veröffentlichung von Bioimaging-Datenanalysen
N. Scherf. 5. FDM-Workshop 2022, (2022)
3 months ago by @scadsfct
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1Effect of brain tissue deformation on functional MRI signal variations assessed using biomechanical simulations
M. Zoraghi, N. Scherf, C. Jaeger, I. Sack, S. Hirsch, S. Hetzer, and N. Weiskopf. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, (2022)
3 months ago by @scadsfct
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1Computer statt Mensch: Kann KI unsere Probleme lösen?
N. Scherf. (2022)
3 months ago by @scadsfct
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1Aligning and transferring knowledge across domains
N. Menghi, C. Beylier, N. Scherf, B. Maess, and C. Doeller. Scientific Advisory Board (SAB) Meeting, (2023)
3 months ago by @scadsfct
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1A gentle introduction to deep learning
N. Scherf. 11th IMPRS NeuroCom Summer School, (2022)
3 months ago by @scadsfct
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1Interspecies analysis to dissect cellular transcriptomic signatures of humans and hamsters in COVID-19
P. Pennitz, V. Friedrich, E. Wyler, J. Adler, D. Postmus, S. Andreotti, L. Teixeira-Alves, J. Kazmierski, F. Pott, T. Hoefler and 8 other author(s). 77, (March 2023)
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2On Forgetting in Assumption-Based Argumentation
M. Berthold, and M. Ulbricht. page 235-261. (October 2024)
3 months ago by @scadsfct
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publications (hide)81
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2Trackastra: Transformer-based cell tracking for live-cell microscopy

1Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings

1Effectiveness and Acceptance of Conversational Agent-based Psychotherapy for Depression and Anxiety Treatment: Methodological Literature Review

1From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game

1Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction

1On the Realisability of Chemical Pathways

1Melanoma development: linking tRNA composition to mRNA expression

1The development of representations in artificial agents

1Representation in machine learning: A neuro-cognitive approach

1Modelling the olfactory system using spiking neural networks with synaptic dynamics to study drifting in electronic noses

1Machine learning in computational microscopy

1From Surface to Depth: using deep learning to predict striatal fMRI reward signaling in the EEG

1From manifolds to thoughts

1Einige Gedanken und Fragen zum Umgang mit und zur Veröffentlichung von Bioimaging-Datenanalysen

1Effect of brain tissue deformation on functional MRI signal variations assessed using biomechanical simulations

1Computer statt Mensch: Kann KI unsere Probleme lösen?

1Aligning and transferring knowledge across domains

1A gentle introduction to deep learning

1Interspecies analysis to dissect cellular transcriptomic signatures of humans and hamsters in COVID-19

2On Forgetting in Assumption-Based Argumentation

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