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

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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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