Photo of Robin Kämpe

Robin Kämpe

Research Engineer

Licensed medical physicist with a focus on the physics of magnetic resonance imaging. My Ph.D studies at CSAN mainly involve applying deep learning algorithms to depression related neuroimaging data.


Supporting Center for Social and Affective Neuroscience (CSAN) in matters of data flow, coding, MR physics and fMRI data analysis. Also conducting Ph.D studies in which we apply deep learning to neuroimaging data within psychiatry.

Fotograf: Peter Karlson/Svarteld Photo credit Peter Karlson/Svarteld


Publications in DiVA


Lina Koppel, Giovanni Novembre, Robin Kämpe, Mattias Savallampi, India Morrison (2023) Prediction and action in cortical pain processing Cerebral Cortex, Vol. 33, p. 794-810 Continue to DOI
Linda Handlin, Giovanni Novembre, Helene Lindholm, Robin Kämpe, Elisabeth Paul, India Morrison (2023) Human endogenous oxytocin and its neural correlates show adaptive responses to social touch based on recent social context eLIFE, Vol. 12, Article e81197 Continue to DOI
Johan Jönemo, Muhammad Usman Akbar, Robin Kämpe, J. Paul Hamilton, Anders Eklund (2023) Efficient Brain Age Prediction from 3D MRI Volumes Using 2D Projections Brain Sciences, Vol. 13, Article 1329 Continue to DOI
Irene Perini, Leah Mayo, Andrea Johansson Capusan, Elisabeth Paul, Adam Yngve, Robin Kämpe, Emelie Gauffin, Raegan Mary Rose Mazurka, Bijar Ghafouri, Niclas Stensson, Anna Asratian, J. Paul Hamilton, Åsa Kastbom, Per Gustafsson, Markus Heilig (2023) Resilience to substance use disorder following childhood maltreatment: association with peripheral biomarkers of endocannabinoid function and neural indices of emotion regulation Molecular Psychiatry Continue to DOI
Michal Pietrzak, Adam Yngve, Paul Hamilton, Robin Kämpe, Rebecca Böhme, Anna Asratian, Emelie Gauffin, Andreas Löfberg, Sarah Gustavsson, Emil Persson, Andrea Johansson Capusan, Lorenzo Leggio, Irene Perini, Gustav Tinghög, Markus Heilig (2023) A randomized controlled experimental medicine study of ghrelin in value-based decision making Journal of Clinical Investigation, Vol. 133, Article e168260 Continue to DOI