Publications of Nico Scherf

Meeting Abstract (5)

2021
Meeting Abstract
Jordan, B.; Fourcade, A.; Gaebler, M.; Scherf, N.; Loheit, A.-C.; Villringer, A.: Linking acute stress and heart rate variability in daily life while accounting for physical activity: A machine learning approach. In Journal of Computational Neuroscience, 49 (Suppl. 1), pp. S193 - S194. Kluwer Academic Publishers, Boston (2021)
2020
Meeting Abstract
Zakrzewski, F.; Sommer, L.; Sperling, C.; Zuerich , A.; De Back, W.; Scherf, N.; Roeder, I.; Aust, D.; Hoenscheid, P.; Baretton, G.: Development of a convolutional neural network (CNN)-based classifier for automated tissue and tumor annotation of matrix-assisted laser desorption/ionization (MALDI) data. In Oncology Research and Treatment, 43 (Suppl. 1), p. 104 - 104. 34. Deutscher Krebskongress informativ. innovativ. integrativ. Optimale Versorgung für alle, Berlin, Germany, February 19, 2020 - February 22, 2020. Karger, Basel (2020)
2018
Meeting Abstract
Pine, K.; Vaculciakova, L.; Kirilina, E.; Scherf, N.; Weiskopf, N.: Multi-parameter mapping with 500 µm resolution using a flexible 23-channel RF coil. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris Expo Porte de Versailles, Paris, France, June 16, 2018 - June 21, 2018. (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)
2011
Meeting Abstract
Heine, C.; Scherf, N.; Sygnecka, K.; Egerland, U.; Hage, T.; Franke, H.: Inhibitors of the phosphodiesterase 2 increased axonal fibre growth in a dopaminergic organotypic ex vivo slice co-culture model. In BMC Pharmacology, 11, p. P34 - P34. BioMed Central, London (2011)

Talk (4)

2022
Talk
Scherf, N.: Einige Gedanken und Fragen zum Umgang mit und zur Veröffentlichung von Bioimaging-Datenanalysen. 5. FDM-Workshop 2022, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2022)
Talk
Scherf, N.: Machine learning in computational microscopy. 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2022)
Talk
Beylier, C.; Scherf, N.; Doeller, C. F.; Menghi, N.: Representation in machine learning: A neuro-cognitive approach. French-German Research and Innovation Network for AI workshop, Inria Headquarters Domaine de Voluceau, Versaille, Frankreich (2022)
2020
Talk
Scherf, N.: On flow and form: Building tools to visualise morphogenesis. 12th Light Sheet Fluorescence Microscopy Meeting 2020, Virtual (2020)

Poster (8)

2023
Poster
Beltran Velandia, F.; Bogdan, M.; Scherf, N.; Schönwiesner, M.: Modelling the olfactory system using spiking neural networks with synaptic dynamics to study drifting in electronic noses. Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2023)
Poster
Beylier, C.; Scherf, N.; Doeller, C. F.: The development of representations in artificial agents. Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2023)
Poster
Menghi, N.; Beylier, C.; Scherf, N.; Maess, B.; Doeller, C. F.: Aligning and transferring knowledge across domains. Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2023)
2022
Poster
Beylier, C.; Scherf, N.; Doeller, C. F.; Menghi, N.: From manifolds to thoughts. 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2022)
Poster
Zoraghi, M.; Scherf, N.; Jäger, C.; Sack, I.; Hirsch, S.; Hetzer, S.; Weiskopf, N.: Effect of brain tissue deformation on functional MRI signal variations assessed using biomechanical simulations. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom (2022)
2021
Poster
Podranski, K.; Pine, K.; Weiskopf, N.; Scherf, N.: Evaluation of deep decoder for image reconstruction of multi-parametric mapping acquisitions. 10th IMPRS NeuroCom Summer School, Virtual (2021)
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)
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)

Teaching (5)

2022
Teaching
Scherf, N.: A gentle introduction to deep learning. Lecture: 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, June 27, 2022 - June 29, 2022
Teaching
Schäfer, T. A. J.; Nitsch, A.; Scherf, N.: fMRI preprocessing workshop. Lecture: Max Planck School of Cognition, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, April 01, 2022 - September 30, 2022
2021
Teaching
Brammerloh, M.; Mueller, K.; Schmidt, J.; Lorenz, R.; Lipp, I.; Chaimow, D.; Eichner, C.; Kirilina, E.; Scherf, N.: Neuroimaging physics and signal processing: Basic MR acquisition & data analysis. Lecture: IMPRS NeuroCom Lecture Series, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, October 04, 2021 - October 07, 2021
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