Weiskopf, N.: Characterizing brain microstructure using MRI - Towards in-vivo histology. Crossing Boundaries: On Sensorimotor And Cognitive Systems, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2018)

Kozlov, M.; Horner, M.; Bazin, P.-L.; Weiskopf, N.; Möller, H. E.: Toward individualized specific absorption rates: Progress in building surface-based human head models. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honululu, HI (2018)

Kozlov, M.; Weiskopf, N.; Möller, H. E.: Evaluation of specific absorption rates with high resolution human head models at 890 MHz. 2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting , Boston, MA (2018)

Weiskopf, N.: Multiparametric mapping. 3rd UK Dementia MRI conference, University of Cambridge, Downing College, UK (2018)

Weiskopf, N.: Characterizing brain microstructure using 7T MRI: Potential and challenges. UK7T Network UHF Symposium, Moller Centre, University of Cambridge, UK (2018)

Weiskopf, N.: Probing the functional and anatomical meso- and microstructure of the human brain with magnetic resonance imaging (MRI). 8th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany (2018)

Weiskopf, N.: What about short-range connectivity? Characterizing microstructure of the cortex and superficial white matter. Axon Diameter Mapping with dMRI, Estaunié auditorium, Telecom ParisTech, Paris, France (2018)

Weiskopf, N.: Imaging of cortical microstructure and short-range connectivity using MRI: Towards in-vivo histology. Connect Club, Villa Thalassa, Helsingborg, Sweden (2018)

Weiskopf, N.: qMRI: Applications and pitfalls. PhD course: Anatomical and physiological fingerprinting of the human brain with multi-modal MRI, Danish Research Center for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Denmark (2018)

Podranski, K.; Scherf, N.; Weiskopf, N.: Improving high-resolution qunatitative MRI maps for in-vivo histology MRI of the human brain. Medical Imaging Summer School 2018 - Medical Imaging Meets Deep Learning, Favignana, Italy (2018)

Gast, R.; Knösche, T. R.; Rose, D.; Möller, H. E.; Weiskopf, N.: PyRates: A Python framework for rate-based neural simulations. 27th Annual Computational Neuroscience Meeting (CNS*2018), Seattle, WA (2018)

Balteau, E.; Leutritz, T.; Weiskopf, N.; Reimer, E.; Lutti, A.; Callaghan, M. F.; Mohammadi, S.; Tabelow, K.: Evaluating T2* bias impact and correction strategies in quantitative proton density mapping. Joint Annual Meeting ISMRM-ESMRMB, Paris, France (2018)

Balteau, E.; Leutritz, T.; Lutti, A.; Callaghan, M. F.; Draganski, B.; Philips , C.; Reimer, E.; Ruthotto, L.; Seif , M.; Weiskopf, N. et al.; Ziegler, G.; Mohammadi, S.; Tabelow, K.: The hMRI analysis toolbox for quantitative MRI and in vivo histology using MRI (hMRI). Joint Annual Meeting ISMRM-ESMRMB, Paris, France (2018)

Kozlov, M.; Müller, R.; Pampel, A.; Kalloch, B.; Weiskopf, N.; Möller, H. E.: RF safety of transcranial direct current stimulation equipment during MRI. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France (2018)

Kozlov, M.; Weiskopf, N.; Möller, H. E.; Shajan, G.: Reverse engineering of a 7T 16-channel dual-row transmit array coil. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France (2018)

Philips , C.; Balteau, E.; Leutritz, T.; Lutti, A.; Callaghan, M. F.; Draganski, B.; Reimer, E.; Ruthotto, L.; Seif , M.; Weiskopf, N. et al.; Ziegler, G.; Mohammadi, S.; Tabelow, K.: The “hMRI Toolbox” for quantitative imaging & in vivo histology using MRI. 2018 OHBM ANNUAL MEETING, Singapore (2018)

Haenelt, D.; Trampel, R.; Nasr, S.; Polimeni, J.; Tootell, R.; Sereno, M.; Weiskopf, N.: Mapping colour-selective columns in V2 across cortical depth using GE- and SE-EPI. 24th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Singapore, Singapore (2018)

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. (2018)