Researcher Portfolio
Scheibe, Patrick
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, External Organizations
Researcher Profile
Position: Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society
Position: External Organizations
Position: Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society
Additional IDs: ORCID:
https://orcid.org/0000-0003-0361-9063
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons240951
Publications
: 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(12): btad713. doi:10.1093/bioinformatics/btad713. [PubMan] : Mohammadi, S., Streubel, T., Klock, L., Edwards, L., Lutti, A., Pine, K., Weber, S., Scheibe, P., Ziegler, G., Gallinat, J., Kühn, S., Callaghan, M. F., Weiskopf, N., & Tabelow, K. (2022). Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity. NeuroImage, 262: 119529. doi:10.1016/j.neuroimage.2022.119529. [PubMan] : 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(5): bbac257. doi:10.1093/bib/bbac257. [PubMan] : 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. bioRxiv. doi:10.1101/2021.06.24.449697. [PubMan] : Edwards, L., Jäger, C., Kirilina, E., Herrmann, K.-H., Pine, K., Scheibe, P., Reichenbach, J., & 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). [PubMan] : Schmidt, J., Radunsky, D., Scheibe, P., Kirilina, E., Stassart, R., Eisenlöffel, C., Jäger, C., Morawski, M., Ben-Eliezer, N., Weiskopf, N., & 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). [PubMan] : Schmidt, J., Radunsky, D., Scheibe, P., Ben-Eliezer, N., Nikolaus, W., & Trampel, R. (2021). Accurate T2 mapping with high-resolution. Poster presented at Brain in Depth Symposium 2021, Virtual. [PubMan] : 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. [PubMan] : 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(10), 1434-1450. doi:10.1177/0963689718792203. [PubMan] : 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(9): 2549. doi:10.3390/ijms19092549. [PubMan] : 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(5), 403-410. doi:10.1515/aot-2017-0043. [PubMan] : Winter, K., Scheibe, P., Guthoff, R. F., Allgeier, S., & Stachs, O. (2017). Morphometrische Charakterisierung des subbasalen Nervenplexus. Ophthalmologe, 114(7), 608-616. doi:10.1007/s00347-017-0465-3. [PubMan] : 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. doi:10.1016/j.exer.2016.05.013. [PubMan] : 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(2), 186-198. doi:10.3109/02713683.2015.1010686. [PubMan] : 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. doi:10.1016/j.exer.2013.11.008. [PubMan]