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wulms/README.md

Hi there 👋

  • 🔭 I’m currently working on ...
    • neuroimaging data
    • segmentation of white-matter hyperintensities
    • data processing pipelines
  • 🌱 I’m currently learning ...
    • R (shiny)
  • 👯 I’m looking to collaborate on ...
    • open-source projects on imaging, data science or data visualization
  • 🤔 I’m looking for help with ...
    • reproducible programming
    • complex apps in shiny
  • 💬 Ask me about ...
    • coding R
    • neuroimaging
    • plants and pets
  • 📫 How to reach me: ...
  • 😄 Pronouns: ...
    • he/him/his
  • ⚡ Fun fact: ...

References

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

Code development

  1. Wulms, N., Eppe, S., & Minnerup, H. (2021). BiDirect bids converter(Version v0.5) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.5031574

  2. 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

  3. Wulms, N., & Dehgan,M.(2021). TRIC pipelines: Release of dti pipeline (version v0.1)[Computer software]. Zenodo.https://doi.org/10.5281/zenodo.5031803

Pinned Loading

  1. BiDirect-Neuroimaging-Pipelines BiDirect-Neuroimaging-Pipelines Public

    MATLAB 1

  2. TRIC_pipelines TRIC_pipelines Public

    Pipelines of the TRIC (Translational Research Imaging Center)

    Python 1