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Author Details

Anders Eklund
Linkoping University
2009
34
12
PMIDPaper TitleJournal TitlePublished Year
36979263Get a New Perspective on EEG: Convolutional Neural Network Encoders for Parametric t-SNE.Brain Sci2023
37759930Efficient Brain Age Prediction from 3D MRI Volumes Using 2D Projections.Brain Sci2023
37685311Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D Convolutional Neural Networks.Diagnostics (Basel)2023
36138025Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images.Sci Data2022
34000402Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.Neuroimage2021
33711358Virtual EEG-electrodes: Convolutional neural networks as a method for upsampling or restoring channels.J Neurosci Methods2021
33932337Brainhack: Developing a culture of open, inclusive, community-driven neuroscience.Neuron2021
34201964Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation?Diagnostics (Basel)2021
34084267CHARACTERIZATION OF SPATIAL DYNAMICS OF FMRI DATA IN WHITE MATTER USING DIFFUSION-INFORMED WHITE MATTER HARMONICS.Proc IEEE Int Symp Biomed Imaging2021
32473943Physiological Gaussian process priors for the hemodynamics in fMRI analysis.J Neurosci Methods2020
33024103Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden.Sci Data2020
32923033Optical coherence tomography for thyroid pathology: 3D analysis of tissue microstructure.Biomed Opt Express2020
30537343Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests.Hum Brain Mapp2019
31866847Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI.Front Neuroinform2019
31945937Graph Spectral Characterization of Brain Cortical Morphology.Annu Int Conf IEEE Eng Med Biol Soc2019
31244637Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI.Front Neuroinform2019
30318709Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates.Hum Brain Mapp2019
29604453Bayesian uncertainty quantification in linear models for diffusion MRI.Neuroimage2018
27876654Fast Bayesian whole-brain fMRI analysis with spatial 3D priors.Neuroimage2017
28140785A defense of using resting-state fMRI as null data for estimating false positive rates.Cogn Neurosci2017
28278228BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.PLoS Comput Biol2017
28473287A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes.Neuroimage2017
28420795Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI.Proc Natl Acad Sci U S A2017
29104529Bayesian Rician Regression for Neuroimaging.Front Neurosci2017
28803942An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time.Neuroimage2017
27357684Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.Proc Natl Acad Sci U S A2016
24672471BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs.Front Neuroinform2014
23625719Harnessing graphics processing units for improved neuroimaging statistics.Cogn Affect Behav Neurosci2013
23906631Medical image processing on the GPU - past, present and future.Med Image Anal2013
21862169fMRI analysis on the GPU-possibilities and challenges.Comput Methods Programs Biomed2012
22507229Does parametric fMRI analysis with SPM yield valid results? An empirical study of 1484 rest datasets.Neuroimage2012
21977020True 4D Image Denoising on the GPU.Int J Biomed Imaging2011
22046176Fast random permutation tests enable objective evaluation of methods for single-subject FMRI analysis.Int J Biomed Imaging2011
20426086Using real-time fMRI to control a dynamical system by brain activity classification.Med Image Comput Comput Assist Interv2009
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Collaborators

Thomas E Nichols
Big Data Science Institute, University of Oxford
Co-authored papers 5
Satrajit S Ghosh
Boston University, Harvard Medical School, Kent Ridge Digital Laboratories, Massachusetts Institute of Technology, National University of Singapore
Co-authored papers 2
Ga??l Varoquaux
Universite Paris Saclay
Co-authored papers 2
Satrajit S Ghosh
Co-authored papers 2
Richard C Craddock
The University of Texas at Austin.
Co-authored papers 2
Jyothi S Guntupalli
Dartmouth College
Co-authored papers 1
Olivia W Stanley
University of Western Ontario
Co-authored papers 1
Hao-Ting Wang
University of Sussex, Brighton and Sussex Medical School
Co-authored papers 1
Ariel Rokem
University of Washington, Department of Psychology and eScience Institute
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Pierre-Olivier Quirion
Canadian Center for Computational Genomics
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Guillaume Dumas
Assistance Publique-Hopitaux de Paris, France Sorbonne Universite
Co-authored papers 1
Simon Schwab
Center for Reproducible Science, University of Zurich
Co-authored papers 1
Martin A Lindquist
Co-authored papers 1
Janine Bayer
The University of Melbourne
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University of Cambridge.
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Jon Haitz Legarreta
Brigham and Women's Hospital, Mass General Brigham/Harvard Medical School
Co-authored papers 1
Russell A Poldrack
Stanford University
Co-authored papers 1
Nathan W Churchill
St. Michael's Hospital
Co-authored papers 1
R??mi Gau
McGill University
Co-authored papers 1
Junaid S Merchant
University of Maryland School of Public Health, College Park
Co-authored papers 1
Elizabeth A McDevitt
Princeton Neuroscience Institute, Princeton University
Co-authored papers 1
Sofie Van Den Bossche
Ghent University
Co-authored papers 1
Samuel Guay
Universite de Montreal
Co-authored papers 1
Guillaume Flandin
University College London
Co-authored papers 1
Christoph Vogelbacher
University of Marburg
Co-authored papers 1
Robert E Smith
The Florey Institute of Neuroscience and Mental Health, The University of Melbourne
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Selim Melvin Atay
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