Anders Eklund
Orcid: 0000-0001-7061-7995Affiliations:
- Linköping University, Sweden
- Virginia Polytechnic Institute and State University, VA, USA (former)
- Linköping University, Sweden (PhD 2012)
According to our database1,
Anders Eklund
authored at least 54 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.
Comput. Biol. Medicine, January, 2024
2023
Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images.
Mach. Learn. Sci. Technol., September, 2023
Brain Age Prediction Using 2D Projections Based on Higher-Order Statistical Moments and Eigenslices from 3D Magnetic Resonance Imaging Volumes.
J. Imaging, 2023
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models.
CoRR, 2023
Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain tumor images.
CoRR, 2023
2022
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?
CoRR, 2022
CoRR, 2022
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images.
CoRR, 2022
2021
Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.
NeuroImage, 2021
Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks.
CoRR, 2021
Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
CoRR, 2020
What is the best data augmentation approach for brain tumor segmentation using 3D U-Net?
CoRR, 2020
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE.
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Classification of short time series in early Parkinsons disease with deep learning of fuzzy recurrence plots.
IEEE CAA J. Autom. Sinica, 2019
Frontiers Neuroinformatics, 2019
Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI.
Frontiers Neuroinformatics, 2019
CoRR, 2019
Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks.
Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
NeuroImage, 2018
Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs.
CoRR, 2018
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks.
CoRR, 2018
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT.
CoRR, 2018
2017
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
PLoS Comput. Biol., 2017
An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time.
NeuroImage, 2017
NeuroImage, 2017
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Computer Analysis of Images and Patterns, 2017
2016
Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016
2015
Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Frontiers Neuroinformatics, 2014
2013
Medical Image Anal., 2013
2012
Computational Medical Image Analysis : With a Focus on Real-Time fMRI and Non-Parametric Statistics.
PhD thesis, 2012
Does parametric fMRI analysis with SPM yield valid results? - An empirical study of 1484 rest datasets.
NeuroImage, 2012
Comput. Methods Programs Biomed., 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis.
Int. J. Biomed. Imaging, 2011
Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011
A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Proceedings of the 8th IEEE VGTC / Eurographics International Symposium on Volume Graphics, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009