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Anders Eklund
Anders Eklund
Associate professor, Linköping University
Verified email at liu.se - Homepage
Title
Cited by
Cited by
Year
Cluster failure: Why fMRI inferences for spatial extent have inflated false positive rates
A Eklund, TE Nichols, H Knutsson
Proceedings of the National Academy of Sciences 113 (28), 7900–7905, 2016
31352016
Medical image processing on the GPU–Past, present and future
A Eklund, P Dufort, D Forsberg, SM LaConte
Medical image analysis 17 (8), 1073-1094, 2013
4652013
BIDS Apps: Improving ease of use, accessibility and reproducibility of neuroimaging data analysis methods
K Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capota, ...
PLOS Computational Biology 13 (3), e1005209, 2017
2042017
Does parametric fMRI analysis with SPM yield valid results? - An empirical study of 1484 rest datasets
A Eklund, M Andersson, C Josephson, M Johannesson, H Knutsson
NeuroImage 61 (3), 565-578, 2012
1322012
Generative adversarial networks for image-to-image translation on multi-contrast MR images - A comparison of CycleGAN and UNIT
P Welander, S Karlsson, A Eklund
arXiv:1806.07777, 2018
962018
BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs
A Eklund, P Dufort, M Villani, S LaConte
Frontiers in Neuroinformatics 8, 24, 2014
862014
Can parametric statistical methods be trusted for fMRI based group studies?
A Eklund, T Nichols, H Knutsson
arXiv:1511.01863, 2015
722015
fMRI analysis on the GPU—possibilities and challenges
A Eklund, M Andersson, H Knutsson
Computer methods and programs in biomedicine 105 (2), 145-161, 2012
622012
Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates
A Eklund, H Knutsson, TE Nichols
Human Brain Mapping 40, 2017-2032, 2019
572019
Vox2Vox: 3D GAN for brain tumour segmentation
MD Cirillo, D Abramian, A Eklund
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
502020
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors
P Sidén, A Eklund, D Bolin, M Villani
NeuroImage 146, 211-225, 2017
392017
Classification of short time series in early Parkinson's disease with deep learning of fuzzy recurrence plots
T Pham, K Wårdell, A Eklund, G Salerud
IEEE/CAA Journal of Automatica Sinica 6, 1306-1317, 2019
382019
Refacing: reconstructing anonymized facial features using GANs
D Abramian, A Eklund
IEEE International Symposium on Biomedical Imaging (ISBI), 1104-1108, 2019
382019
Using real-time fMRI to control a dynamical system by brain activity classification
A Eklund, H Ohlsson, M Andersson, J Rydell, A Ynnerman, H Knutsson
MICCAI, 1000-1008, 2009
332009
Fast random permutation tests enable objective evaluation of methods for single-subject FMRI analysis
A Eklund, M Andersson, H Knutsson
International journal of biomedical imaging 2011, 2011
322011
Phase based volume registration using CUDA
A Eklund, M Andersson, H Knutsson
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2010
312010
True 4D image denoising on the GPU
A Eklund, M Andersson, H Knutsson
International Journal of Biomedical Imaging 2011, 8, 2011
282011
Reply to Brown and Behrmann, Cox et al. and Kessler et al.: Data and code sharing is the way forward for fMRI
A Eklund, T Nichols, H Knutsson
Proceedings of the National Academy of Sciences 114, E3374–E3375, 2017
272017
Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis
A Eklund, T Nichols, M Andersson, H Knutsson
IEEE International Symposium on Biomedical Imaging (ISBI), 1376-1380, 2015
262015
A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data
A Eklund, O Friman, M Andersson, H Knutsson
IEEE International Conference on Image Processing, 1589-1592, 2011
242011
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