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Journal Article (3)

  1. Journal Article
    Papazoglou, S.; Streubel, T.; Ashtarayeh, M.; Pine, K.; Edwards, L.; Brammerloh, M.; Kirilina, E.; Morawski, M.; Jäger, C.; Geyer, S. et al.; Callaghan, M. F.; Weiskopf, N.; Mohammadi, S.: Biophysically motivated efficient estimation of the spatially isotropic R∗2 component from a single gradient-recalled echo measurement. Magnetic Resonance in Medicine 82 (5), pp. 1804 - 1811 (2019)
  2. Journal Article
    Georgi, J.; Metere, R.; Jäger, C.; Morawski, M.; Möller, H. E.: Influence of the extracellular matrix on water mobility in subcortical gray matter. Magnetic Resonance in Medicine 81 (2), pp. 1265 - 1279 (2019)
  3. Journal Article
    Morawski, M.; Kirilina, E.; Scherf, N.; Jäger, C.; Reimann, K.; Trampel, R.; Gavriilidis, F.; Geyer, S.; Biedermann, B.; Arendt, T. et al.; Weiskopf, N.: Developing 3D microscopy with CLARITY on human brain tissue: Towards a tool for informing and validating MRI-based histology. NeuroImage 182, pp. 417 - 428 (2018)

Conference Paper (1)

  1. Conference Paper
    Thierbach, K.; Bazin, P.-L.; de Back, W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. In: Machine Learning in Medical Imaging 2018, pp. 179 - 187. 9th International Workshop on Machine Learning in Medical Imaging, Granada, Spain, September 16, 2018. Springer, Cham (2018)

Meeting Abstract (3)

  1. Meeting Abstract
    Morozova, M.; Rusch, H.; Jäger, C.; Anwander, A.; Mohammadi, S.; Morawski, M.; Geyer, S.: The corticospinal tract in the human medulla oblongata: A high-resolution microscopic analysis. In Proceedings of the 25th Annual Meeting of the Organization for Human Brain Mapping (OHBM), 25. (2019)
  2. Meeting Abstract
    Eichner, C.; Mildner, T.; Paquette, M.; Schlumm, T.; Crockford, C.; Wittig, R. M.; Kirilina, E.; Jäger, C.; Möller, H. E.; Weiskopf, N. et al.; Friederici, A. D.; Anwander, A.: Multi-echo segmented diffusion-weighted MRI for ex-vivo whole-brain measurements with 300mT/m gradients. In Proceedings of the 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), 27, 3510. (2019)
  3. Meeting Abstract
    Brammerloh, M.; Lange, C.; Reinert, T.; Jäger, C.; Gavriilidis, F.; Pine, K.; Weigelt, I.; Trampel, R.; Reimer, E.; Morawski, M. et al.; Arendt, T.; Weiskopf, N.; Kirilina, E.: A biophysical model of iron-induced relaxation in human substantia nigra for early stage parkinson diagnostic. In Proceedings of the ISMRM 27th Annual Meeting & Exhibition. ISMRM 27th Annual Meeting & Exhibition, Palais des congrès de Montréal, 1001 Place Jean-Paul-Riopelle, Montréal, QC, Canada, May 11, 2019 - May 16, 2019. (2019)

Talk (4)

  1. Talk
    Eichner, C.; Paquette, M.; Gallardo, G.; Lipp, I.; Kirilina, E.; Jäger, C.; Morawski, M.; Wittig, R. M.; Crockford, C.; Weiskopf, N. et al.; Friederici, A. D.; Anwander, A.: Cortical projections of the language pathway equivalents of wild chimpanzees. Brain and Behavioral Evolution in Primates , Erice, Italy (2019)
  2. Talk
    Georgi, J.; Morawski, M.; Jäger, C.; Möller, H. E.: Validation of the two-pool diffusion model in post-mortem white matter using the CLARITY method. ISMRM 25th Annual Meeting & Exhibition, Honululu, HI (2017)
  3. Talk
    Metere, R.; Morawski, M.; Marschner, H.; Jäger, C.; Streubel, T.; Geyer, S.; Reimann, K.; Schäfer, A.; Möller, H. E.: Possible contribution of the extracellular matrix to the MRI contrast in the brain. 23rd Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, ON, Canada (2015)
  4. Talk
    Metere, R.; Morawski, M.; Marschner, H.; Jäger, C.; Streubel, T.; Geyer, S.; Reimann, K.; Schäfer, A.; Möller, H. E.: Possible contributions of the hyaluronan-based extracellular matrix to the MRI contrast in the brain. Summer School of Ultra-High Field Magnetic Resonance Imaging (HiMR), Isola d’Elba, Italy (2015)

Poster (7)

  1. Poster
    Morozova, M.; Rusch, H.; Jäger, C.; Anwander, A.; Mohammadi, S.; Morawski, M.; Geyer, S.: The corticospinal tract in the human medulla oblongata: A high-resolution microscopic analysis. 9th IMPRS NeuroCom Summer School, Leipzig, Germany (2019)
  2. Poster
    Morozova, M.; Rusch, H.; Jäger, C.; Anwander, A.; Mohammadi, S.; Morawski, M.; Geyer, S.: The corticospinal tract in the human medulla oblongata: A high-resolution microscopic analysis. 25th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Rome, Italy (2019)
  3. Poster
    Eichner, C.; Mildner, T.; Paquette, M.; Schlumm, T.; Crockford, C.; Wittig, R. M.; Kirilina, E.; Jäger, C.; Möller, H. E.; Weiskopf, N. et al.; Friederici, A. D.; Anwander, A.: Multi-echo segmented diffusion-weighted MRI for ex-vivo whole-brain measurements with 300mT/m gradients. 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada (2019)
  4. Poster
    Morozova, M.; Rusch, H.; Jäger, C.; Arendt, T.; Geyer, S.; Morawski, M.: Validation of MRI-based biophysical models with high-resolution histology. 15th Research Festival Leipzig, Leipzig, Germany (2019)
  5. Poster
    Metere, R.; Jäger, C.; Morawski, M.; Möller, H. E.: Observing the hyaluronan component of the extracellular matrix in the brain with quantitative MRI. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France (2018)
  6. Poster
    Georgi, J.; Morawski, M.; Jäger, C.; Möller, H. E.: Validation of the two-pool diffusion model in post-mortem white matter using the CLARITY method. 7th IMPRS NeuroCom Summer School, London, United Kingdom (2017)
  7. Poster
    Metere, R.; Morawski, M.; Jäger, C.; Möller, H. E.: Quantitative MRI explorations of the hyaluronan-based extracellular matrix in brain tissue. 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore (2016)

Working Paper (1)

  1. Working Paper
    Thierbach, K.; Bazin, P.-L.; De Back , W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. BioRxiv (2018)
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