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.

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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2021

Rémi Gau, Stephanie Noble, Katja Heuer, Katherine L Bottenhorn, Isil P Bilgin, Yu-Fang Yang, Julia M Huntenburg, Johanna M M Bayer, Richard A I Bethlehem, Shawn A Rhoads, Christoph Vogelbacher, Valentina Borghesani, Elizabeth Levitis, Hao-Ting Wang, Sofie Van Den Bossche, Xenia Kobeleva, Jon Haitz Legarreta, Samuel Guay, Selim Melvin Atay, Gael P Varoquaux, Dorien C Huijser, Malin S Sandström, Peer Herholz, Samuel A Nastase, AmanPreet Badhwar, Guillaume Dumas, Simon Schwab, Stefano Moia, Michael Dayan, Yasmine Bassil, Paula P Brooks, Matteo Mancini, James M Shine, David OConnor, Xihe Xie, Davide Poggiali, Patrick Friedrich, Anibal S Heinsfeld, Lydia Riedl, Roberto Toro, César Caballero-Gaudes, Anders Eklund, Kelly G Garner, Christopher R Nolan, Damion V Demeter, Fernando A Barrios, Junaid S Merchant, Elizabeth A McDevitt, Robert Oostenveld, R Cameron Craddock, Ariel Rokem, Andrew Doyle, Satrajit S Ghosh, Aki Nikolaidis, Olivia W Stanley, Eneko Uruñuela (2021) Brainhack: Developing a culture of open, inclusive, community-driven neuroscience Neuron Continue to DOI

Publications in Google Scholar. 

Publications in DiVA. 

ResearchShow/Hide content

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.

Supervisor of Doctoral StudentsShow/Hide content

Co-Supervisor of Doctoral StudentsShow/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

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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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