Publications of Nico Scherf

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)

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)

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)

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)

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)

Scherf, N.: Machine learning in computational microscopy. 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2022)

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)

Scherf, N.: On flow and form: Building tools to visualise morphogenesis. 12th Light Sheet Fluorescence Microscopy Meeting 2020, Virtual (2020)

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)

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)

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)

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)

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)

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)

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)

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)

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

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

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

Scherf, N.; Mueller, K.: Data Science Clinic. Lecture: Seminar, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, January 01, 2021 - December 31, 2021