3.7k citations · 4.1k across the 26 of their papers we have counts for
6 papers · 1 filter
Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs
Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund +1
The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of st…
Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests
Anders Eklund, Hans Knutsson, Thomas E. Nichols
One-sided t-tests are commonly used in the neuroimaging field, but two-sided tests should be the default unless a researcher has a strong reason for using a one-sided test. Here we…
Refacing: reconstructing anonymized facial features using GANs
David Abramian, Anders Eklund
Anonymization of medical images is necessary for protecting the identity of the test subjects, and is therefore an essential step in data sharing. However, recent developments in d…
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
Xuan Gu, Hans Knutsson, Markus Nilsson +1
Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive microstructure assessment technique. Scalar measures, such as FA (fractional anisotropy) and MD (mean diffusi…
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
Per Welander, Simon Karlsson, Anders Eklund
In medical imaging, a general problem is that it is costly and time consuming to collect high quality data from healthy and diseased subjects. Generative adversarial networks (GANs…
Cluster Failure Revisited: Impact of First Level Design and Data Quality on Cluster False Positive Rates
Anders Eklund, Hans Knutsson, Thomas E Nichols
Methodological research rarely generates a broad interest, yet our work on the validity of cluster inference methods for functional magnetic resonance imaging (fMRI) created intens…