Anders Eklund

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 43

Top Venues

CoRR

ISBI

NeuroImage

Frontiers Neuroinformatics

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Muhammad Usman Akbar, Wuhao Wang, Anders Eklund
Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain tumor images. CoRR (2023)
Johan Jönemo, Anders Eklund
Brain Age Prediction Using 2D Projections Based on Higher-Order Statistical Moments and Eigenslices from 3D Magnetic Resonance Imaging Volumes. J. Imaging 9 (12) (2023)
Muhammad Usman Akbar, Måns Larsson, Anders Eklund
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. CoRR (2023)
Iulian Emil Tampu, Neda Haj-Hosseini, Ida Blystad, Anders Eklund
Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images. Mach. Learn. Sci. Technol. 4 (3) (2023)
Måns Larsson, Muhammad Usman Akbar, Anders Eklund
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? CoRR (2022)
Johan Jönemo, Muhammad Usman Akbar, Robin Kämpe, J. Paul Hamilton, Anders Eklund
Efficient brain age prediction from 3D MRI volumes using 2D projections. CoRR (2022)
Shreyas Fadnavis, Jens Sjölund, Anders Eklund, Eleftherios Garyfallidis
NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification. CoRR (2022)
Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images. CoRR (2022)
Marco Domenico Cirillo, David Abramian, Anders Eklund
What is The Best Data Augmentation For 3D Brain Tumor Segmentation? ICIP (2021)
Hamid Behjat, Iman Aganj, David Abramian, Anders Eklund, Carl-Fredrik Westin
Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. ISBI (2021)
David Abramian, Martin Larsson, Anders Eklund, Iman Aganj, Carl-Fredrik Westin, Hamid Behjat
Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters. NeuroImage 237 (2021)
Johan Jönemo, David Abramian, Anders Eklund
Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks. CoRR (2021)
Iulian Emil Tampu, Neda Haj-Hosseini, Anders Eklund
Does contextual information improve 3D U-Net based brain tumor segmentation? CoRR (2020)
Marco Domenico Cirillo, David Abramian, Anders Eklund
Vox2Vox: 3D-GAN for Brain Tumour Segmentation. BrainLes@MICCAI (1) (2020)
Mehdi Foroozandeh, Anders Eklund
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE. CoRR (2020)
Marco Domenico Cirillo, David Abramian, Anders Eklund
What is the best data augmentation approach for brain tumor segmentation using 3D U-Net? CoRR (2020)
David Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund
Anatomically Informed Bayesian Spatial Priors for FMRI Analysis. ISBI (2020)
Marco Domenico Cirillo, David Abramian, Anders Eklund
Vox2Vox: 3D-GAN for Brain Tumour Segmentation. CoRR (2020)
David Abramian, Martin Larsson, Anders Eklund, Hamid Behjat
Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering. ISBI (2020)
Sevil Maghsadhagh, Anders Eklund, Hamid Behjat
Graph Spectral Characterization of Brain Cortical Morphology. CoRR (2019)
Xuan Gu, Anders Eklund, Evren Özarslan, Hans Knutsson
Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI. Frontiers Neuroinformatics 13 (2019)
David Abramian, Anders Eklund
Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN. CoRR (2019)
Tuan D. Pham, Karin Wårdell, Anders Eklund, Goran Salerud
Classification of short time series in early Parkinsons disease with deep learning of fuzzy recurrence plots. IEEE CAA J. Autom. Sinica 6 (6) (2019)
Anders Eklund
Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN. CoRR (2019)
Sevil Maghsadhagh, Anders Eklund, Hamid Behjat
Graph Spectral Characterization of Brain Cortical Morphology. EMBC (2019)
David Abramian, Anders Eklund
Refacing: Reconstructing Anonymized Facial Features Using GANS. ISBI (2019)
Xuan Gu, Hans Knutsson, Markus Nilsson, Anders Eklund
Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks. SCIA (2019)
Xuan Gu, Anders Eklund
Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI. Frontiers Neuroinformatics 13 (2019)
Xuan Gu, Hans Knutsson, Anders Eklund
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks. CoRR (2018)
Per Welander, Simon Karlsson, Anders Eklund
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT. CoRR (2018)
Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund, Hamid Behjat
Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs. CoRR (2018)
Jens Sjölund, Anders Eklund, Evren Özarslan, Magnus Herberthson, Maria Bånkestad, Hans Knutsson
Bayesian uncertainty quantification in linear models for diffusion MRI. NeuroImage 175 (2018)
David Abramian, Anders Eklund
Refacing: reconstructing anonymized facial features using GANs. CoRR (2018)
Olivier Cros, Michael Gaihede, Anders Eklund, Hans Knutsson
Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones. ISBI (2017)
Mikhail N. Koffarnus, Harshawardhan U. Deshpande, Jonathan Lisinski, Anders Eklund, Warren K. Bickel, Stephen LaConte
An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time. NeuroImage 161 (2017)
Xuan Gu, Per Sidén, Bertil Wegmann, Anders Eklund, Mattias Villani, Hans Knutsson
Bayesian Diffusion Tensor Estimation with Spatial Priors. CAIP (1) (2017)
Anders Eklund, Martin A. Lindquist, Mattias Villani
A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage 155 (2017)
Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. ISBI (2017)
Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 13 (3) (2017)
Per Sidén, Anders Eklund, David Bolin, Mattias Villani
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. NeuroImage 146 (2017)
Olivier Cros, Anders Eklund, Michael Gaihede, Hans Knutsson
Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis. IPTA (2016)
Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. CoRR (2016)
Anders Eklund, Thomas E. Nichols, Mats T. Andersson, Hans Knutsson
Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis. ISBI (2015)
Anders Eklund, Paul Dufort, Mattias Villani, Stephen LaConte
BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. Frontiers Neuroinformatics 8 (2014)
Anders Eklund, Paul Dufort, Daniel Forsberg, Stephen LaConte
Medical image processing on the GPU - Past, present and future. Medical Image Anal. 17 (8) (2013)
Anders Eklund, Mats T. Andersson, Hans Knutsson
A functional connectivity inspired approach to non-local fMRI analysis. ICIP (2012)
Anders Eklund, Mats T. Andersson, Camilla Josephson, Magnus Johannesson, Hans Knutsson
Does parametric fMRI analysis with SPM yield valid results? - An empirical study of 1484 rest datasets. NeuroImage 61 (3) (2012)
Anders Eklund, Mats T. Andersson, Hans Knutsson
fMRI analysis on the GPU - Possibilities and challenges. Comput. Methods Programs Biomed. 105 (2) (2012)
Anders Eklund, Mats T. Andersson, Hans Knutsson
True 4D Image Denoising on the GPU. Int. J. Biomed. Imaging 2011 (2011)
Anders Eklund, Daniel Forsberg, Mats T. Andersson, Hans Knutsson
Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration. SCIA (2011)
Anders Eklund, Mats T. Andersson, Hans Knutsson
Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis. Int. J. Biomed. Imaging 2011 (2011)
Anders Eklund, Ola Friman, Mats T. Andersson, Hans Knutsson
A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data. ICIP (2011)
Anders Eklund, Mats T. Andersson, Henrik Ohlsson, Anders Ynnerman, Hans Knutsson
A Brain Computer Interface for Communication Using Real-Time fMRI. ICPR (2010)
Anders Eklund, Mats T. Andersson, Hans Knutsson
Phase based volume registration using cuda. ICASSP (2010)
Tan Khoa Nguyen, Anders Eklund, Henrik Ohlsson, Frida Hernell, Patric Ljung, Camilla Forsell, Mats T. Andersson, Hans Knutsson, Anders Ynnerman
Concurrent Volume Visualization of Real-Time fMRI. VG@Eurographics (2010)
Anders Eklund, Henrik Ohlsson, Mats T. Andersson, Joakim Rydell, Anders Ynnerman, Hans Knutsson
Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification. MICCAI (1) (2009)

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Publication Activity (10 Years)

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Anders Eklund