Anders Eklund - RankMe

62 papers B 4Misc 1Journal 40Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federated learning for unpaired multimodal data through a homogeneous transformer model. CoRR Anders Eklund
2025	J	`jnl`	Beware of diffusion models for synthesizing medical images - a comparison with GANs in terms of memorizing brain MRI and chest x-ray images. Mach. Learn. Sci. Technol. Muhammad Usman Akbar, Wuhao Wang, Anders Eklund
2025	J	`jnl`	Knowledge Distillation and Transformer-Based Framework for Automatic Spine CT Report Generation. IEEE Access 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
2024	—	`conf`	Early Fusion of H&E and IHC Histology Images for Pediatric Brain Tumor Classification. COMPAY@MICCAI Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini
2024	J	`jnl`	Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures. Comput. Biol. Medicine Jörg Schilcher, Alva Nilsson, Oliver Andlid, Anders Eklund
2023	J	`jnl`	Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain tumor images. CoRR Muhammad Usman Akbar, Wuhao Wang, Anders Eklund
2023	J	`jnl`	Brain Age Prediction Using 2D Projections Based on Higher-Order Statistical Moments and Eigenslices from 3D Magnetic Resonance Imaging Volumes. J. Imaging Johan Jönemo, Anders Eklund
2023	J	`jnl`	Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. CoRR Muhammad Usman Akbar, Måns Larsson, Anders Eklund
2023	J	`jnl`	Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images. Mach. Learn. Sci. Technol. Iulian Emil Tampu, Neda Haj-Hosseini, Ida Blystad, Anders Eklund
2022	J	`jnl`	Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images? CoRR Måns Larsson, Muhammad Usman Akbar, Anders Eklund
2022	J	`jnl`	Efficient brain age prediction from 3D MRI volumes using 2D projections. CoRR Johan Jönemo, Muhammad Usman Akbar, Robin Kämpe, J. Paul Hamilton, Anders Eklund
2022	J	`jnl`	Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images. CoRR Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini
2022	J	`jnl`	NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification. CoRR Shreyas Fadnavis, Jens Sjölund, Anders Eklund, Eleftherios Garyfallidis
2021	—	`conf`	Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. ISBI Hamid Behjat, Iman Aganj, David Abramian, Anders Eklund, Carl-Fredrik Westin
2021	J	`jnl`	Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters. NeuroImage David Abramian, Martin Larsson, Anders Eklund, Iman Aganj, Carl-Fredrik Westin, Hamid Behjat
2021	J	`jnl`	Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks. CoRR Johan Jönemo, David Abramian, Anders Eklund
2021	B	`conf`	What is The Best Data Augmentation For 3D Brain Tumor Segmentation? ICIP Marco Domenico Cirillo, David Abramian, Anders Eklund
2020	—	`conf`	Anatomically Informed Bayesian Spatial Priors for FMRI Analysis. ISBI David Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund
2020	J	`jnl`	Does contextual information improve 3D U-Net based brain tumor segmentation? CoRR Iulian Emil Tampu, Neda Haj-Hosseini, Anders Eklund
2020	—	`conf`	Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering. ISBI David Abramian, Martin Larsson, Anders Eklund, Hamid Behjat
2020	J	`jnl`	Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE. CoRR Mehdi Foroozandeh, Anders Eklund
2020	—	`conf`	Vox2Vox: 3D-GAN for Brain Tumour Segmentation. BrainLes@MICCAI (1) Marco Domenico Cirillo, David Abramian, Anders Eklund
2020	J	`jnl`	Vox2Vox: 3D-GAN for Brain Tumour Segmentation. CoRR Marco Domenico Cirillo, David Abramian, Anders Eklund
2020	J	`jnl`	What is the best data augmentation approach for brain tumor segmentation using 3D U-Net? CoRR Marco Domenico Cirillo, David Abramian, Anders Eklund
2019	J	`jnl`	Classification of short time series in early Parkinsons disease with deep learning of fuzzy recurrence plots. IEEE CAA J. Autom. Sinica Tuan D. Pham, Karin Wårdell, Anders Eklund, Goran Salerud
2019	J	`jnl`	Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI. Frontiers Neuroinformatics Xuan Gu, Anders Eklund
2019	J	`jnl`	Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN. CoRR Anders Eklund
2019	—	`conf`	Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks. SCIA Xuan Gu, Hans Knutsson, Markus Nilsson, Anders Eklund
2019	J	`jnl`	Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN. CoRR David Abramian, Anders Eklund
2019	—	`conf`	Graph Spectral Characterization of Brain Cortical Morphology. EMBC Sevil Maghsadhagh, Anders Eklund, Hamid Behjat
2019	J	`jnl`	Graph Spectral Characterization of Brain Cortical Morphology. CoRR Sevil Maghsadhagh, Anders Eklund, Hamid Behjat
2019	—	`conf`	Refacing: Reconstructing Anonymized Facial Features Using GANS. ISBI David Abramian, Anders Eklund
2019	J	`jnl`	Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI. Frontiers Neuroinformatics Xuan Gu, Anders Eklund, Evren Özarslan, Hans Knutsson
2018	J	`jnl`	Bayesian uncertainty quantification in linear models for diffusion MRI. NeuroImage Jens Sjölund, Anders Eklund, Evren Özarslan, Magnus Herberthson, Maria Bånkestad, Hans Knutsson
2018	J	`jnl`	Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs. CoRR Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund, Hamid Behjat
2018	J	`jnl`	Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks. CoRR Xuan Gu, Hans Knutsson, Anders Eklund
2018	J	`jnl`	Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT. CoRR Per Welander, Simon Karlsson, Anders Eklund
2018	J	`jnl`	Refacing: reconstructing anonymized facial features using GANs. CoRR David Abramian, Anders Eklund
2017	J	`jnl`	A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage Anders Eklund, Martin A. Lindquist, Mattias Villani
2017	J	`jnl`	An adaptive, individualized fMRI delay discounting procedure to increase flexibility and optimize scanner time. NeuroImage Mikhail N. Koffarnus, Harshawardhan U. Deshpande, Jonathan Lisinski, Anders Eklund, Warren K. Bickel, Stephen LaConte
2017	J	`jnl`	BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 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
2017	—	`conf`	Bayesian Diffusion Tensor Estimation with Spatial Priors. CAIP (1) Xuan Gu, Per Sidén, Bertil Wegmann, Anders Eklund, Mattias Villani, Hans Knutsson
2017	J	`jnl`	Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. NeuroImage Per Sidén, Anders Eklund, David Bolin, Mattias Villani
2017	—	`conf`	Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. ISBI Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson
2017	—	`conf`	Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones. ISBI Olivier Cros, Michael Gaihede, Anders Eklund, Hans Knutsson
2016	—	`conf`	Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis. IPTA Olivier Cros, Anders Eklund, Michael Gaihede, Hans Knutsson
2016	J	`jnl`	Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. CoRR Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson
2015	—	`conf`	Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis. ISBI Anders Eklund, Thomas E. Nichols, Mats T. Andersson, Hans Knutsson
2014	J	`jnl`	BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. Frontiers Neuroinformatics Anders Eklund, Paul Dufort, Mattias Villani, Stephen LaConte
2013	J	`jnl`	Medical image processing on the GPU - Past, present and future. Medical Image Anal. Anders Eklund, Paul Dufort, Daniel Forsberg, Stephen LaConte
2012	B	`conf`	A functional connectivity inspired approach to non-local fMRI analysis. ICIP Anders Eklund, Mats T. Andersson, Hans Knutsson
2012	—	`—`	Computational Medical Image Analysis : With a Focus on Real-Time fMRI and Non-Parametric Statistics. Anders Eklund
2012	J	`jnl`	Does parametric fMRI analysis with SPM yield valid results? - An empirical study of 1484 rest datasets. NeuroImage Anders Eklund, Mats T. Andersson, Camilla Josephson, Magnus Johannesson, Hans Knutsson
2012	J	`jnl`	fMRI analysis on the GPU - Possibilities and challenges. Comput. Methods Programs Biomed. Anders Eklund, Mats T. Andersson, Hans Knutsson
2011	B	`conf`	A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data. ICIP Anders Eklund, Ola Friman, Mats T. Andersson, Hans Knutsson
2011	J	`jnl`	Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis. Int. J. Biomed. Imaging Anders Eklund, Mats T. Andersson, Hans Knutsson
2011	J	`jnl`	True 4D Image Denoising on the GPU. Int. J. Biomed. Imaging Anders Eklund, Mats T. Andersson, Hans Knutsson
2011	—	`conf`	Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration. SCIA Anders Eklund, Daniel Forsberg, Mats T. Andersson, Hans Knutsson
2010	B	`conf`	A Brain Computer Interface for Communication Using Real-Time fMRI. ICPR Anders Eklund, Mats T. Andersson, Henrik Ohlsson, Anders Ynnerman, Hans Knutsson
2010	—	`conf`	Concurrent Volume Visualization of Real-Time fMRI. VG@Eurographics Tan Khoa Nguyen, Anders Eklund, Henrik Ohlsson, Frida Hernell, Patric Ljung, Camilla Forsell, Mats T. Andersson, Hans Knutsson, Anders Ynnerman
2010	Misc	`conf`	Phase based volume registration using cuda. ICASSP Anders Eklund, Mats T. Andersson, Hans Knutsson
2009	—	`conf`	Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification. MICCAI (1) Anders Eklund, Henrik Ohlsson, Mats T. Andersson, Joakim Rydell, Anders Ynnerman, Hans Knutsson