Publikationen von Pierre-Louis Bazin

Leuze, C.; Anwander, A.; Geyer, S.; Bazin, P.-L.; Turner, R.: High-resolution diffusion-weighted imaging of the orientational structure of motor and somatosensory cortex in human cadaver brain. 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Melbourne, Australia (2012)

Schäfer, A.; Trampel, R.; Bazin, P.-L.; Turner, R.: High-resolution phase imaging reveals intra-cortical structure of the human cingulate cortex at 7T. 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Melbourne, Australia (2012)

Möller, H. E.; Bazin, P.-L.; Mueller, K.; Valk, S. L.; Anwander, A.; Schreiber, J.; Steele, C.; Neumann, J.; Klados, M.; Mehnert, J.: Spin resonance II & measurement and analysis of structural and functional brain data. Vorlesung: Lecture SS 2015, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany , 22. April 2015 - 15. Juli 2015

Neumann, J.; Trampel, R.; Bazin, P.-L.; Schäfer, A.; Gorgolewski, K. J.; Anwander, A.; Schreiber, J.; Steele, C.; Maess, B.; Knösche, T. R. et al.; Gauthier, C.; Mehnert, J.: Measurement and analysis of structural and functional imaging data. Vorlesung: Lecture, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany , 09. April 2014 - 16. Juli 2014

Bazin, P.-L.: Modélisation et estimation du mouvement et de la structure dans une séquence d'images à partir d'indices géométriques épars, avec application à la post-production audio-visuelle. 216 S. (2001)

Pizzuti, A.; Bazin, P.-L.; Ivanov, D.; Dresbach, S.; Peters, J.; Goebel, R.; Gulban, O. F.: Multimodal laminar characterization of visual areas along the cortical hierarchy. bioRxiv (2024)

Isherwood, S. J. S.; Kemp, S.; Miletić, S.; Stevenson, N.; Bazin, P.-L.; Forstmann, B. U.: The canonical stopping network: Revisiting the role of the subcortex in response inhibition. bioRxiv (2023)

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)