wulms Goto Github PK

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

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

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

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

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

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

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

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