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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.

     
     
     
     

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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 Show/Hide content

2022

2021

Publications in Google Scholar. 

Publications in DiVA. 

Research Show/Hide content

MRI photo of a human head.

ASSIST

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

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.
Infographics explaining canonical correlation analysis

Methods in Neuroimaging Genetics

In this VR project, the goal is to combine brain images and genetic data to better understand brain diseases.

Supervisor of Doctoral Students Show/Hide content

PhD Graduates (Co-Supervisor) Show/Hide content

Olivier Cros, 2017

Jens Sjölund, 2018

Per Sidén, 2020

PhD Graduates (Main Supervisor) Show/Hide content

Xuan Gu, 2019

Marco Domenico Cirillo, 2021

Organisation Show/Hide content

Institutionen för medicinsk teknik

Department of Biomedical Engineering

A national centre for research, PhD studies and graduate studies within biomedical engineering, since 1972. 
House B, entrance 27, Campus Valla, LiU.

Department of Computer and Information Science

IDA is one of the largest departments in northern Europe in computer and information science. Research at IDA covers the areas of artificial intelligence; cognition, interaction and design; 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 Show/Hide content

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.
Anders Eklund

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.

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