Publikationen von Nico Scherf

Zeitschriftenartikel (26)

2013
Zeitschriftenartikel
Heine, C.; Sygnecka, K.; Scherf, N.; Berndt, A.; Egerland, U.; Hage, T.; Franke, H.: Phosphodiesterase 2 inhibitors promote axonal outgrowth in organotypic slice co-cultures. Neurosignals 21 (3-4), S. 197 - 212 (2013)
Zeitschriftenartikel
Weber, M.; Scherf, N.; Kahl, T.; Braumann, U.-D.; Scheibe, P.; Kuska, J.-P.; Bayer, R.; Büttner, A.; Franke, H.: Quantitative analysis of astrogliosis in drug-dependent humans. Brain Research 1500, S. 72 - 87 (2013)
Zeitschriftenartikel
Schmid, B.; Shah, G.; Scherf, N.; Weber, M.; Thierbach, K.; Campos, C. P.; Roeder, I.; Aanstad, P.; Huisken, J.: High-speed panoramic light-sheet microscopy reveals global endodermal cell dynamics. Nature Communications 4, 2207 (2013)
2012
Zeitschriftenartikel
Scherf, N.; Herberg, M.; Thierbach, K.; Zerjatke, T.; Kalkan, T.; Humphreys, P.; Smith, A.; Glauche, I.; Roeder, I.: Imaging, quantification and visualization of spatio-temporal patterning in mESC colonies under different culture conditions. Bioinformatics 28 (18), S. i556 - i561 (2012)
Zeitschriftenartikel
Scherf, N.; Franke, K.; Glauche, I.; Kurth, I.; Bornhäuser, M.; Werner, C.; Pompe, T.; Roeder, I.: On the symmetry of siblings: Automated single-cell tracking to quantify the behavior of hematopoietic stem cells in a biomimetic setup. Experimental Hematology 40 (2), S. 119 - 130.e9 (2012)
2007
Zeitschriftenartikel
Braumann, U.-D.; Scherf, N.; Einenkel, J.; Horn, L.-C.; Wentzensen, N.; Loeffler, M.; Kuska, J.-P.: Large histological serial sections for computational tissue volume reconstruction. Methods of Information in Medicine 46 (5), S. 614 - 622 (2007)

Konferenzbeitrag (12)

2020
Konferenzbeitrag
Burek, P.; Scherf, N.; Herre, H.: On the ontological foundations of cellular development. In: Proceedings of the Joint Ontology Workshops (JOWO) 2020. (2020)
Konferenzbeitrag
Burek, P.; Scherf, N.; Herre, H.: On the formal representation and annotation of cellular genealogies. In: Knowledge Engineering and Knowledge Management: Lecture Notes in Computer Science, Bd. 12387, S. 194 - 203 (Hg. Keet, C. M.; Dumontier, M.). Springer International Publishing, Cham (2020)
2019
Konferenzbeitrag
De Back , W.; Seurig, S.; Wagner, S.; Marre, B.; Roeder, I.; Scherf, N.: Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging. In: Proceedings of the 2019 International Conference on Medical Imaging with Deep Learning (MIDL). (2019)
Konferenzbeitrag
Kloenne, M.; Niehaus, S.; Lampe, L.; Merola, A.; Reinelt, J.; Scherf, N.: Convolutional neural network stacking for medical image segmentation in CT scans. In: 2019 Kidney Tumor Segmentation Challenge. MICCAI 2019, Shenzhen, China, 13. Oktober 2019 - 19. Oktober 2019. University of Minnesota Libraries Publishing, Minneapolis, MN (2019)
2018
Konferenzbeitrag
Thierbach, K.; Bazin, P.-L.; de Back, W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. In: Machine Learning in Medical Imaging 2018, S. 179 - 187. 9th International Workshop on Machine Learning in Medical Imaging, Granada, Spain, 16. September 2018. Springer, Cham (2018)
2016
Konferenzbeitrag
Thierbach, K.; Shah, G.; Glauche, I.; Huisken, J.; Roeder, I.; Scherf, N.: Biology-inspired visualization of morphogenetic motion in the zebrafish endoderm. In: Proceedings of the 13th International Symposium on Biomedical Imaging (ISBI), S. 925 - 929. (2016)
2014
Konferenzbeitrag
Becker, T.; Kanje, W.; Rapoport, D.; Thierbach, K.; Scherf, N.; Roeder, I.; Mamlouk, A. M.: The benchmark data SET CeTReS.B-MI for in vitro mitosis detection. In: Proceedings of the 11th International Symposium on Biomedical Imaging (ISBI), S. 469 - 472. (2014)
Konferenzbeitrag
Burek, P.; Scherf, N.; Herre, H.: OWL patterns for modeling the change over time exemplified by the cell tracking ontology. In: Ontologies and Data in Life Sciences (ODLS 2014). (2014)
2013
Konferenzbeitrag
Scherf, N.; Zerjatke, T.; Klemm, K.; Glauche, I.; Roeder, I.: Beyond genealogies: Mutual information of causal paths to analyse single cell tracking data. In: Proceedings of the 10th International Symposium on Biomedical Imaging, S. 440 - 443. (2013)
Konferenzbeitrag
Scherf, N.; Kunze, M.; Thierbach, K.; Zerjatke, T.; Burek, P.; Herre, H.; Glauche, I.; Roeder, I.: Assisting the machine paradigms for human-machine interaction in single cell tracking. In: Bildverarbeitung für die Medizin 2013, S. 116 - 121 (Hg. Meinzer, H.-P.; Deserno, T. M.; Handels, H.; Tolxdorff, T.). Springer Berlin Heidelberg, Berlin, Heidelberg (2013)
2010
Konferenzbeitrag
Burek, P.; Herre, H.; Roeder, I.; Glauche, I.; Scherf, N.; Löffler, M.: Towards a cellular genealogy ontology. In: Proceedings of the OBML 2010 Workshop. (2010)
2008
Konferenzbeitrag
Scherf, N.; Kuska, J.-P.; Heine, C.; Braumann, U.-D.; Franke, H.: Segmentation of axonal fibres in tissue slices. Bildverarbeitung für die Medizin 2008, S. 178 - 182 (2008)

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), S. 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), S. 104 - 104. 34. Deutscher Krebskongress informativ. innovativ. integrativ. Optimale Versorgung für alle, Berlin, Germany, 19. Februar 2020 - 22. Februar 2020. Karger, Basel (2020)
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