Photo of Anders Eklund

Anders Eklund

Senior Associate Professor

I am an associate professor and share my time between the Department of Biomedical Engineering (IMT) and the Department of Computer and Information Science (IDA).

Development of new methods for medical images

My research is about analyzing medical images and developing new methods (image processing, statistics, machine learning) for extracting important information from the images.

About me


  • 2007 Master of Science, applied physics & electrical engineering 
  • 2012 PhD, medical informatics
  • 2012-2014 Postdoc, Virginia Tech
  • 2016 Docent, medical informatics
  • 2021 Associate Professor



Bertil Wegmann, Anders Lundquist, Anders Eklund, Mattias Villani (2024) Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions The Journal of the Royal Statistical Society, Series C: Applied Statistics Continue to DOI
Muhammad Usman Akbar, Måns Larsson, Ida Blystad, Anders Eklund (2024) Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models Scientific Data, Vol. 11, Article 259 Continue to DOI
Jörg Schilcher, Alva Nilsson, Oliver Andlid, Anders Eklund (2024) Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures Computers in Biology and Medicine, Vol. 168, Article 107704 Continue to DOI


Gustav Nilsonne, Peter Dahlgren, Anders Eklund, Henrik Danielsson, Rickard Carlsson, Åse Innes-Ker, Thomas Nordström, Rebecca Willén (2023) "Sluta betala för att få publicera forskning" Svenska Dagbladet
Mats Svantesson, Håkan Olausson, Anders Eklund, Magnus Thordstein (2023) Get a New Perspective on EEG: Convolutional Neural Network Encoders for Parametric t-SNE Brain Sciences, Vol. 13, Article 453 Continue to DOI


Co-Supervisor of Doctoral Students

PhD Graduates (Co-Supervisor)

Olivier Cros, 2017

Jens Sjölund, 2018

Per Sidén, 2020

Deneb Boito, 2024

PhD Graduates (Main Supervisor)

Xuan Gu, 2019

Marco Domenico Cirillo, 2021

David Abramian, 2023

Johan Jönemo (licentiate degree), 2024