Anders Eklund

Development & testing of fMRI methods

My main research interests are within analysis of functional magnetic resonance imaging (fMRI) data, mainly regarding development and testing of statistical algorithms. Other interests include high performance computing using graphics cards, image registration and machine learning.

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

 

I teach the following courses: 

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2018

2017

Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Michel Capotă, M. Mallar Chakravarty, Nathan W. 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, Cristopher J. Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russel A. Poldrack (2017) BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods PloS Computational Biology Continue to DOI

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Research
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Info graphics multi-modal machine learning

Intelligence based improvement of personalized treatment and clinical workflow support (IMPACT)

In this VINNOVA / ITEA3 / AIDA project, the goal is to improve segmentation and treatment of small brain tumours, by combining novel diffusion imaging with deep learning. The project involves collaboration with Elekta, Inovia and SyntheticMR.
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.

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Publications in Google Scholar. 

Publications in DiVA. 

Supervisor of Doctoral Students
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Co-Supervisor of Doctoral Students
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PhD Graduates (Co-Supervisor)
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Olivier Cros, 2017

Jens Sjölund, 2018

Organisational affiliations
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Institutionen för medicinsk teknik

Department of Biomedical Engineering

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

Department of Computer and Information Science

Research at IDA covers a broad spectrum of topics from core computer science to applications. Our broad research base directly enriches our undergraduate and graduate education.
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.

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