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

CV

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

Publications

2024

Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini (2024) Pediatric brain tumor classification using deep learning on MR-images with age fusion
Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini (2024) Early fusion of H&E and IHC histology images for pediatric brain tumor classification Proceedings of Machine Learning Research, p. 192-202 (Conference paper)
Chiara Trenti, Deneb Boito, Filip Hammaréus, Anders Eklund, Eva Swahn, Lena Jonasson, Bertil Wegmann, Petter Dyverfeldt (2024) Abnormal Patterns of Wall Shear Stress in Aortic Dilation Revealed by Permutation Tests Journal of Cardiovascular Magnetic Resonance, Vol. 26, p. 100612-100612, Article 100612 (Article in journal) Continue to DOI
Christian Jamtheim Gustafsson, Tommy Löfstedt, Mattias Åkesson, Viktor Rogowski, Muhammad Usman Akbar, Andreas Hellander, Peter Larsson, Annika Malmström, Ida Blystad, Anders Eklund (2024) Federated training of segmentation models for radiation therapy treatment planning Radiotherapy and Oncology, Vol. 194, p. S4819-S4822 (Article in journal) Continue to DOI
Hanh H. Nguyen, Duy Tho Le, Cat Shore-Lorenti, Colin Chen, Jörg Schilcher, Anders Eklund, Roger Zebaze, Frances Milat, Shoshana Sztal-Mazer, Christian M. Girgis, Roderick Clifton-Bligh, Jianfei Cai, Peter R. Ebeling (2024) AFFnet - a deep convolutional neural network for the detection of atypical femur fractures from anteriorposterior radiographs Bone, Article 117215 (Article in journal) Continue to DOI

Research

Co-Supervisor of Doctoral Students

PhD Graduates (Co-Supervisor)

Olivier Cros, 2017

Jens Sjölund, 2018

Per Sidén, 2020

Deneb Boito, 2024

Mats Svantesson, 2024

Iulian Emil Tampu, 2024

PhD Graduates (Main Supervisor)

Xuan Gu, 2019

Marco Domenico Cirillo, 2021

David Abramian, 2023

Johan Jönemo (licentiate degree), 2024

Organisation

News