Suchergebnisse

Zeitschriftenartikel (1)

2018
Zeitschriftenartikel
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, S. 417 - 428 (2018)

Konferenzbeitrag (1)

2018
Konferenzbeitrag
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, S. 179 - 187. 9th International Workshop on Machine Learning in Medical Imaging, Granada, Spain, 16. September 2018. Springer, Cham (2018)

Meeting Abstract (2)

2019
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, 11. Mai 2019 - 16. Mai 2019. (2019)
2018
Meeting Abstract
Brammerloh, M.; Weigelt, I.; Arendt, T.; Gavriilidis, F.; Scherf, N.; Jankuhn, S.; Morawski, M.; Weiskopf, N.; Kirilina, E.: Iron-induced relaxation mechanisms in the human substantia nigra: Towards quantifying iron load in dopaminergic neurons. In Proceedings of the ISMRM 26th Annual Meeting & Exhibition. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris Expo Porte de Versailles, 16. Juni 2018 - 21. Juni 2019. (2018)

Forschungspapier (1)

2018
Forschungspapier
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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