Publications of Nico Scherf

Jordan, B., Fourcade, A., Gaebler, M., Scherf, N., Loheit, A.-C., & Villringer, A. (2021). Linking acute stress and heart rate variability in daily life while accounting for physical activity: A machine learning approach. In Journal of Computational Neuroscience (Vol. 49, pp. S193–S194). Boston: Kluwer Academic Publishers.

Zakrzewski, F., Sommer, L., Sperling, C., Zuerich , A., De Back, W., Scherf, N., … Baretton, G. (2020). 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 (Vol. 43, pp. 104–104). Basel: Karger.

Pine, K., Vaculciakova, L., Kirilina, E., Scherf, N., & Weiskopf, N. (2018). Multi-parameter mapping with 500 µm resolution using a flexible 23-channel RF coil. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018. Paris Expo Porte de Versailles, Paris, France. Retrieved from http://hdl.handle.net/21.11116/0000-000A-E98B-3

Brammerloh, M., Weigelt, I., Arendt, T., Gavriilidis, F., Scherf, N., Jankuhn, S., … Kirilina, E. (2018). 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. Paris Expo Porte de Versailles. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C222-A

Heine, C., Scherf, N., Sygnecka, K., Egerland, U., Hage, T., & Franke, H. (2011). Inhibitors of the phosphodiesterase 2 increased axonal fibre growth in a dopaminergic organotypic ex vivo slice co-culture model. In BMC Pharmacology (Vol. 11, pp. P34–P34). London: BioMed Central.

Scherf, N. Einige Gedanken und Fragen zum Umgang mit und zur Veröffentlichung von Bioimaging-Datenanalysen. Talk_at_event presented at the 5. FDM-Workshop 2022, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1A8E-9

Scherf, N. (2022, June). Machine learning in computational microscopy. Talk_at_event presented at the 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1A89-E

Beylier, C., Scherf, N., Doeller, C. F., & Menghi, N. Representation in machine learning: A neuro-cognitive approach. Talk_at_event presented at the French-German Research and Innovation Network for AI workshop, Inria Headquarters Domaine de Voluceau, Versaille, Frankreich. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1B4F-0

Scherf, N. On flow and form: Building tools to visualise morphogenesis. Talk_at_event presented at the 12th Light Sheet Fluorescence Microscopy Meeting 2020, Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1AD2-B

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. Poster presented at the Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000C-B050-2

Beylier, C., Scherf, N., & Doeller, C. F. The development of representations in artificial agents. Poster presented at the Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000C-B055-D

Menghi, N., Beylier, C., Scherf, N., Maess, B., & Doeller, C. F. Aligning and transferring knowledge across domains. Poster presented at the Scientific Advisory Board (SAB) Meeting, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000C-B241-1

Beylier, C., Scherf, N., Doeller, C. F., & Menghi, N. From manifolds to thoughts. Poster presented at the 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1B49-6

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. Poster presented at the Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom. Retrieved from http://hdl.handle.net/21.11116/0000-000B-44E3-8

Podranski, K., Pine, K., Weiskopf, N., & Scherf, N. Evaluation of deep decoder for image reconstruction of multi-parametric mapping acquisitions. Poster presented at the 10th IMPRS NeuroCom Summer School, Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000B-476B-E

Podranski, K., Zhang, R., Thierbach, K., Thieleking, R., Witte, A. V., Villringer, A., … Scherf, N. Detecting fat artifacts in diffusion MRI with deep learning. Poster presented at the 9th IMPRS NeuroCom Summer School, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C6C1-2

Podranski, K., Scherf, N., & Weiskopf, N. Improving high-resolution qunatitative MRI maps for in-vivo histology MRI of the human brain. Poster presented at the Medical Imaging Summer School 2018 - Medical Imaging Meets Deep Learning, Favignana, Italy. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C6C8-B

Scherf, N. A gentle introduction to deep learning. Courseware_lecture presented at the 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1A85-2

Schäfer, T. A. J., Nitsch, A., & Scherf, N. fMRI preprocessing workshop. Courseware_lecture presented at the Max Planck School of Cognition, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-3694-1

Brammerloh, M., Mueller, K., Schmidt, J., Lorenz, R., Lipp, I., Chaimow, D., … Scherf, N. Neuroimaging physics and signal processing: Basic MR acquisition & data analysis. Courseware_lecture presented at the IMPRS NeuroCom Lecture Series, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000A-EF24-1