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

Field of teaching

I teach the following courses:

Publications

2023

2022

Publications in Google Scholar.

Publications in DiVA.

Research

Image: Anders Brun, Hae-Jeong Park, Hans Knutsson och Carl-Fredrik Westin

Biomedical Image Science

We develop methods & techniques for depicting anatomy & function in the human body & its organs. From imaging techniques, through methods of analysis and quantification of image information, to validation of new methods and image-based biomarkers

ASSIST

In this VINNOVA/ITEA project, the goal is to streamline radiation therapy for the treatment of tumours. In this project, IMT collaborates with RaySearch, Spectronic, Inovia and Eigenvision.

Bayesian fMRI tumour

In this CENIIT project, Bayesian methods for fMRI informed brain tumour treatment planning, the goal is to improve treatment of brain tumours, by including images of brain activity in Elektas software for tumour treatment planning.

Supervisor of Doctoral Students

Johan Jönemo

PhD student

Co-Supervisor of Doctoral Students

Josef Wilzén

Lecturer

Robin Kämpe

Research Engineer

Deneb Boito

PhD student

Mats Svantesson

Iulian Emil Tampu

PhD student

PhD Graduates (Co-Supervisor)

Olivier Cros, 2017

Jens Sjölund, 2018

Per Sidén, 2020

PhD Graduates (Main Supervisor)

Xuan Gu, 2019

Marco Domenico Cirillo, 2021

David Abramian, 2023

Organisation

Department of Biomedical Engineering (IMT)

A national centre for research, PhD studies and graduate studies within biomedical engineering, since 1972.

Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization (CMIV)

CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.

News

A MRI photo of a human brain with a brain tumour.

Reducing healthcare queues after the pandemic

At the end of September, the ASSIST project received 9 million sek in funding. The hope is that their research on automated analysis of brain images will be able to free up time for healthcare professionals.

Softwares for fMRI yield erroneous results

Common statistical methods used to analyse brain activity through images taken with MRI scanners cannot be trusted, as shown by Anders Eklund and Hans Knutsson of Linköping University, in the highly-ranked journal PNAS.

Anders Eklund

Development of new methods for medical images

About me