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- neuroimaging data
- segmentation of white-matter hyperintensities
- data processing pipelines
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- R (shiny)
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- reproducible programming
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Bathel, A., Schweizer, L., Stude, P., Glaubitz, B., Wulms, N., Delice, S., & Schmidt‑Wilcke, T. (2018). Increased thalamic glutamate/glutamine levels in migraineurs. Journal of Headache and Pain,19(1). https://doi.org/10.1007/10194.1129-2377
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Schmidt‑Wilcke, T., Wulms, N., Heba, S., Pleger, B., Puts, N. A., Glaubitz, B., Kalisch, T., Tegenthoff, M., & Dinse,H. R. (2018). Structural changes in brain morphology induced by brief periods of repetitive sensory stimulation.NeuroImage,165. https://doi.org/10.1016/j.neuroimage.2017.10.016
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Neumann, L., Wulms, N., Witte, V., Spisak, T., Zunhammer, M., Bingel, U., & Schmidt‑Wilcke, T. (2021). Networkproperties and regional brain morphology of the insular cortex correlate with individual pain thresholds. HumanBrain Mapping. https://doi.org/10.1002/hbm.25588
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Fisch, L., Ernsting, J., Winter, N. R., Holstein, V., Leenings, R., Beisemann, M., Sarink, K., Emden, D., Opel, N.,Redlich, R., Repple, J., Grotegerd, D., Meinert, S., Wulms, N., Minnerup, H., Hirsch, J. G., Niendorf, T., Endemann,B., Bamberg, F., ... Hahn, T. (2021). Predicting brain‑age from raw T 1 ‑weighted Magnetic Resonance Imaging datausing 3D Convolutional Neural Networks. arXiv preprint http://arxiv.org/abs/2103.11695
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Wulms N, Redmann L, Herpertz C, Bonberg N, Berger K, Sundermann B and Minnerup H (2022) The Effect of Training Sample Size on the Prediction of White Matter Hyperintensity Volume in a Healthy Population Using BIANCA. Front. Aging Neurosci. 13:720636. doi: 10.3389/fnagi.2021.720636 https://www.frontiersin.org/articles/10.3389/fnagi.2021.720636/full
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Wulms, N., Eppe, S., & Minnerup, H. (2021). BiDirect bids converter(Version v0.5) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.5031574
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Wulms, N., Eppe, S., & Minnerup, H.(2021). BiDirect neuroimaging pipelines: first release (version v0.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.5031801
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Wulms, N., & Dehgan,M.(2021). TRIC pipelines: Release of dti pipeline (version v0.1)[Computer software]. Zenodo.https://doi.org/10.5281/zenodo.5031803