Publikationen von Nico Scherf

Bach, E.; Zerjatke, T.; Herklotz, M.; Scherf, N.; Niederwieser, D.; Roeder, I.; Pompe, T.; Cross, M.; Glauche, I.: Elucidating functional heterogeneity in hematopoietic progenitor cells: A combined experimental and modeling approach. Experimental Hematology 42 (9), S. 826 - 837.e17 (2014)

Rashidi, N. M.; Scott, M. K.; Scherf, N.; Krinner, A.; Kalchschmidt, J. S.; Gounaris, K.; Selkirk, M. E.; Roeder, I.; Lo Celso, C.: In vivo time-lapse imaging shows diverse niche engagement by quiescent and naturally activated hematopoietic stem cells. Blood 124 (1), S. 79 - 83 (2014)

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)

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)

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)

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)

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)

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)

Kiakou, D.; Adamopoulos, A.; Scherf, N.: Graph-based disease prediction in neuroimaging: Investigating the impact of feature selection. In: Advances in Experimental Medicine and Biology (AEMB), Bd. 1424, S. 223 - 230. Springer (2023)

Burek, P.; Scherf, N.; Herre, H.: On the ontological foundations of cellular development. In: Proceedings of the Joint Ontology Workshops (JOWO) 2020. (2020)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)