Publications of Patrick Scheibe

Soulios, K., Scheibe, P., Bernt, M., Hackermüller, J., & Schor, J. (2023). deepFPlearn+: Enhancing toxicity prediction across the chemical universe using graph neural networks. Bioinformatics, 39. doi:10.1093/bioinformatics/btad713

Mohammadi, S., Streubel, T., Klock, L., Edwards, L., Lutti, A., Pine, K., … Tabelow, K. (2022). Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity. NeuroImage, 262. doi:10.1016/j.neuroimage.2022.119529

Schor, J., Scheibe, P., Bernt, M., Busch, W., Lai, C., & Hackermüller, J. (2022). AI for predicting chemical-effect associations at the chemical universe level: DeepFPlearn. Briefings in Bioinformatics, 23. doi:10.1093/bib/bbac257

Roth, S. P., Schubert, S., Scheibe, P., Groß, C., Brehm, W., & Burk, J. (2018). Growth factor-mediated tenogenic induction of multipotent mesenchymal stromal cells is altered by the microenvironment of tendon matrix. Cell Transplantation, 27, 1434–1450.

Brandt, L., Schubert, S., Scheibe, P., Brehm, W., Franzen, J., Gross, C., & Burk, J. (2018). Tenogenic properties of mesenchymal progenitor cells are compromised in an inflammatory environment. International Journal of Molecular Sciences, 19. doi:10.3390/ijms19092549

Frey, K., Zimmerling, B., Scheibe, P., Rauscher, F. G., Reichenbach, A., Francke, M., & Brunner, R. (2017). Does the foveal shape influence the image formation in human eyes? Advanced Optical Technologies, 6, 403–410.

Scheibe, P., Zocher, M. T., Francke, M., & Rauscher, F. G. (2016). Analysis of foveal characteristics and their asymmetries in the normal population. Experimental Eye Research, 148, 1–11.

Karsten, W., Scheibe, P., Köhler, B., Allgeier, S., Guthoff, R. F., & Stachs, O. (2016). Local variability of parameters for characterization of the corneal subbasal nerve plexus. Current Eye Research, 41, 186–198.

Scheibe, P., Lazareva, A., Braumann, U.-D., Reichenbach, A., Wiedemann, P., Francke, M., & Rauscher, F. G. (2014). Parametric model for the 3D reconstruction of individual fovea shape from OCT data. Experimental Eye Research, 119, 19–26.

Schmidt, J., Radunsky, D., Scheibe, P., Kirilina, E., Stassart, R., Eisenlöffel, C., … Trampel, R. (2021). Quantification of T2 relaxation in vivo and post mortem at 7 Tesla using a dictionary approach. In Proceedings of the 27th Annual Meeting of the Organization for Human Brain Mapping (OHBM). online. Retrieved from http://hdl.handle.net/21.11116/0000-000B-5520-1

Schmidt, J., Radunsky, D., Scheibe, P., Ben-Eliezer, N., Weiskopf, N., & Trampel, R. (2021). Quantification of transverse relaxation times in vivo at 7T field-strength. In Proceedings of the ISMRM & SMRT Annual Meeting & Exhibition. Online. Retrieved from http://hdl.handle.net/21.11116/0000-000B-5527-A

Edwards, L., Jäger, C., Kirilina, E., Herrmann, K.-H., Pine, K., Scheibe, P., … Weiskopf, N. (2021). Exploring quantitative MRI contrast in posterior cortical atrophy using ex vivo imaging. In Proceedings of the 27th Annual Meeting of the Organization for Human Brain Mapping (OHBM) (pp. 1489–1489). Virtual.

Schmidt, J., Radunsky, D., Scheibe, P., Ben-Eliezer, N., Nikolaus, W., & Trampel, R. Accurate T2 mapping with high-resolution. Poster presented at the Brain in Depth Symposium 2021, Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000B-54C8-5

Schor, J., Scheibe, P., Bernt, M., Busch, W., Lai, C., & Hackermüller, J. (2022, April 21). AI for predicting chemical-effect associations at the chemical universe level – deepFPlearn. BioRxiv. doi:10.1101/2021.06.24.449697