Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification. - Anders Eklund 002; Henrik Ohlsson; Mats T. Andersson; Joakim Rydell; Anders Ynnerman; Hans Knutsson (MICCAI (1), 2009)

Phase based volume registration using cuda. - Anders Eklund 002; Mats T. Andersson; Hans Knutsson (ICASSP, 2010)

A Brain Computer Interface for Communication Using Real-Time fMRI. - Anders Eklund 002; Mats T. Andersson; Henrik Ohlsson; Anders Ynnerman; Hans Knutsson (ICPR, 2010)

Concurrent Volume Visualization of Real-Time fMRI. - Tan Khoa Nguyen; Anders Eklund 002; Henrik Ohlsson; Frida Hernell; Patric Ljung; Camilla Forsell; Mats T. Andersson; Hans Knutsson; Anders Ynnerman (VG@Eurographics, 2010)

A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data. - Anders Eklund 002; Ola Friman; Mats T. Andersson; Hans Knutsson (ICIP, 2011)

Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration. - Anders Eklund 002; Daniel Forsberg; Mats T. Andersson; Hans Knutsson (SCIA, 2011)

True 4D Image Denoising on the GPU. - Anders Eklund 002; Mats T. Andersson; Hans Knutsson (Int. J. Biomed. Imaging, 2011)

Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis. - Anders Eklund 002; Mats T. Andersson; Hans Knutsson (Int. J. Biomed. Imaging, 2011)

A functional connectivity inspired approach to non-local fMRI analysis. - Anders Eklund 002; Mats T. Andersson; Hans Knutsson (ICIP, 2012)

fMRI analysis on the GPU - Possibilities and challenges. - Anders Eklund 002; Mats T. Andersson; Hans Knutsson (Comput. Methods Programs Biomed., 2012)

Does parametric fMRI analysis with SPM yield valid results? - An empirical study of 1484 rest datasets. - Anders Eklund 002; Mats T. Andersson; Camilla Josephson; Magnus Johannesson; Hans Knutsson (NeuroImage, 2012)

Computational Medical Image Analysis : With a Focus on Real-Time fMRI and Non-Parametric Statistics. - Anders Eklund 002 (2012)

Medical image processing on the GPU - Past, present and future. - Anders Eklund 002; Paul Dufort; Daniel Forsberg; Stephen LaConte (Medical Image Anal., 2013)

BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. - Anders Eklund 002; Paul Dufort; Mattias Villani; Stephen LaConte (Frontiers Neuroinformatics, 2014)

Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis. - Anders Eklund 002; Thomas E. Nichols; Mats T. Andersson; Hans Knutsson (ISBI, 2015)

Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis. - Olivier Cros; Anders Eklund 002; Michael Gaihede; Hans Knutsson (IPTA, 2016)

Bayesian Diffusion Tensor Estimation with Spatial Priors. - Xuan Gu; Per Sidén; Bertil Wegmann; Anders Eklund 002; Mattias Villani; Hans Knutsson (CAIP (1), 2017)

Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones. - Olivier Cros; Michael Gaihede; Anders Eklund 002; Hans Knutsson (ISBI, 2017)

Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. - Jens Sjölund; Anders Eklund 002; Evren Özarslan; Hans Knutsson (ISBI, 2017)

A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. - Anders Eklund 002; Martin A. Lindquist; Mattias Villani (NeuroImage, 2017)

An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time. - Mikhail N. Koffarnus; Harshawardhan U. Deshpande; Jonathan Lisinski; Anders Eklund 002; Warren K. Bickel; Stephen LaConte (NeuroImage, 2017)

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. - Per Sidén; Anders Eklund 002; David Bolin; Mattias Villani (NeuroImage, 2017)

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. - 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 002; Oscar Esteban; et al. (PLoS Comput. Biol., 2017)

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 002 (CoRR, 2018)

Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks. - Xuan Gu; Hans Knutsson; Anders Eklund 002 (CoRR, 2018)

Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs. - Sevil Maghsadhagh; Mousa Shamsi; Anders Eklund 002; Hamid Behjat (CoRR, 2018)

Bayesian uncertainty quantification in linear models for diffusion MRI. - Jens Sjölund; Anders Eklund 002; Evren Özarslan; Magnus Herberthson; Maria Bånkestad; Hans Knutsson (NeuroImage, 2018)

Graph Spectral Characterization of Brain Cortical Morphology. - Sevil Maghsadhagh; Anders Eklund 002; Hamid Behjat (EMBC, 2019)

Refacing: Reconstructing Anonymized Facial Features Using GANS. - David Abramian; Anders Eklund 002 (ISBI, 2019)

Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks. - Xuan Gu; Hans Knutsson; Markus Nilsson; Anders Eklund 002 (SCIA, 2019)

Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN. - David Abramian; Anders Eklund 002 (CoRR, 2019)

Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN. - Anders Eklund 002 (CoRR, 2019)

Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI. - Xuan Gu; Anders Eklund 002 (Frontiers Neuroinformatics, 2019)

Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI. - Xuan Gu; Anders Eklund 002; Evren Özarslan; Hans Knutsson (Frontiers Neuroinformatics, 2019)

Classification of short time series in early Parkinsons disease with deep learning of fuzzy recurrence plots. - Tuan D. Pham; Karin Wårdell; Anders Eklund 002; Goran Salerud (IEEE CAA J. Autom. Sinica, 2019)

Vox2Vox: 3D-GAN for Brain Tumour Segmentation. - Marco Domenico Cirillo; David Abramian; Anders Eklund 002 (BrainLes@MICCAI (1), 2020)

Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering. - David Abramian; Martin Larsson; Anders Eklund 002; Hamid Behjat (ISBI, 2020)

Anatomically Informed Bayesian Spatial Priors for FMRI Analysis. - David Abramian; Per Sidén; Hans Knutsson; Mattias Villani; Anders Eklund 002 (ISBI, 2020)

Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE. - Mehdi Foroozandeh; Anders Eklund 002 (CoRR, 2020)

What is the best data augmentation approach for brain tumor segmentation using 3D U-Net? - Marco Domenico Cirillo; David Abramian; Anders Eklund 002 (CoRR, 2020)

Does contextual information improve 3D U-Net based brain tumor segmentation? - Iulian Emil Tampu; Neda Haj-Hosseini; Anders Eklund 002 (CoRR, 2020)

What is The Best Data Augmentation For 3D Brain Tumor Segmentation? - Marco Domenico Cirillo; David Abramian; Anders Eklund 002 (ICIP, 2021)

Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. - Hamid Behjat; Iman Aganj; David Abramian; Anders Eklund 002; Carl-Fredrik Westin (ISBI, 2021)

Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks. - Johan Jönemo; David Abramian; Anders Eklund 002 (CoRR, 2021)

Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters. - David Abramian; Martin Larsson; Anders Eklund 002; Iman Aganj; Carl-Fredrik Westin; Hamid Behjat (NeuroImage, 2021)

Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images. - Iulian Emil Tampu; Anders Eklund 002; Neda Haj-Hosseini (CoRR, 2022)

NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification. - Shreyas Fadnavis; Jens Sjölund; Anders Eklund 002; Eleftherios Garyfallidis (CoRR, 2022)

Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? - Måns Larsson; Muhammad Usman Akbar; Anders Eklund 002 (CoRR, 2022)

Efficient brain age prediction from 3D MRI volumes using 2D projections. - Johan Jönemo; Muhammad Usman Akbar; Robin Kämpe; J. Paul Hamilton; Anders Eklund 002 (CoRR, 2022)

Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain tumor images. - Muhammad Usman Akbar; Wuhao Wang; Anders Eklund 002 (CoRR, 2023)

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. - Muhammad Usman Akbar; Måns Larsson; Anders Eklund 002 (CoRR, 2023)

Brain Age Prediction Using 2D Projections Based on Higher-Order Statistical Moments and Eigenslices from 3D Magnetic Resonance Imaging Volumes. - Johan Jönemo; Anders Eklund 002 (J. Imaging, 2023)

Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images. - Iulian Emil Tampu; Neda Haj-Hosseini; Ida Blystad; Anders Eklund 002 (Mach. Learn. Sci. Technol., 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Early Fusion of H&E and IHC Histology Images for Pediatric Brain Tumor Classification. - Christoforos Spyretos; Iulian Emil Tampu; Nadieh Khalili; Juan Manuel Pardo Ladino; Per Nyman; Ida Blystad; Anders Eklund 002; Neda Haj-Hosseini (COMPAY@MICCAI, 2024)

Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures. - Jörg Schilcher; Alva Nilsson; Oliver Andlid; Anders Eklund 002 (Comput. Biol. Medicine, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

Knowledge Distillation and Transformer-Based Framework for Automatic Spine CT Report Generation. - Humaira Batool; Asmat Mukhtar; Sajid Gul Khawaja; Norah Saleh Alghamdi; Asad Mansoor Khan; Adil Qayyum; Ruqqayia Adil; Zawar Khan; Muhammad Usman Akram; Muhammad Usman Akbar; Anders Eklund 002 (IEEE Access, 2025)

Beware of diffusion models for synthesizing medical images - a comparison with GANs in terms of memorizing brain MRI and chest x-ray images. - Muhammad Usman Akbar; Wuhao Wang; Anders Eklund 002 (Mach. Learn. Sci. Technol., 2025)