About Us

The Medical Image Processing Lab (MIPLab) is headed by Dimitri Van De Ville. The lab is jointly between the University of Geneva (Faculty of Medicine, Department of Radiology) and the EPFL (School of Engineering, Institute of Bioengineering). Our research interests are at the interface between signal processing and medical imaging:

  • Signal and image processing: wavelets, inverse problems, mathematical imaging, sparsity, pattern recognition.
  • Functional imaging: (f)MRI, EEG, PET, laser Doppler optics.
We have regularly job openings for post-doctoral fellows and PhD students.

Top News

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Paper Highlights

  • May 2013: In an upcoming paper, which will appear in IEEE Transactions on Signal Processing, Nora Leonardi shows a new framework for spectral graph wavelet transform on multislice graphs.
  • April 2013: Our latest review article 'Machine Learning with Brain Graphs' will appear in the May issue of IEEE Signal Processing Magazine.
  • January 2013: Isik Karahanoglu et al. successfully applied 'Total Activation' to recover activity-inducing signals from fMRI data without paradigm prior knowledge.
  • June 2012: Jonas Richiardi et al. show that it is possible to decode the patient status in multiple sclerosis from a simple fMRI resting-state acquisition! The paper entitled Classifying Minimally Disabled Multiple Sclerosis Patients from Resting State Functional Connectivity has just been accepted for publication to NeuroImage.
  • November 2011: In a new paper entitled A Signal Processing Approach to Generalized 1-D Total Variation, which has appeared in IEEE Transactions on Signal Processing, Isik Karahanoglu proposes a flexible extension of TV regularization.
  • September 2011: Our article Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection has appeared in IEEE Transactions on Image Processing. We show that the analytical form of Stein's Unbiased Risk Estimate can be obtained for the Nonlocal Means method, leading to optimal parameter selection. The source is available here.
  • May 2011: Our article Decoding Brain States from fMRI Connectivity Graphs, first-authored by Jonas Richiardi, has appeared in the NeuroImage Special Issue on Multivariate Decoding and Brain Reading edited by Prof. John Dylan-Haynes.
  • October 2010: Our latest article, authored by Dimitri Van De Ville, Juliane Britz and Christoph Michel, on scale-free dynamics of EEG microstates was just published in the Proceedings of the National Academy of Sciences of the USA. We show scale-free behavior of EEG microstates in the range of 256ms-16sec, explaining the surprising link between fast EEG microstate changes and slow oscillations of resting-state fMRI. This study reveals the fractal organization of spontaneous brain activity as one of the underlying mechanisms of consciousness and cognition.
  • July 2010: Congratulations to Juliane Britz whose latest paper in NeuroImage has attracted a lot of attention! Commentaries by Helmut Laufs and Dietrich Lehmann in the same issue accompany the article. The paper is also rated Must Read (8) in the F1000 Database.

Events and Links

Affiliations

Funding

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Head

Prof. Dimitri Van De Ville

Secretary

[at EPFL]
Ms Ruth Fiaux
EPFL-STI-IBI
BM4.134
Station 17
CH-1015 Lausanne
Switzerland
Phone: +41 21 6935172
Fax: +41 21 6936990

[at UniGE]
Radiology-CIBM SPC
University Hospital Geneva
Rue Gabrielle-Perret-G. 4
CH-1211 Geneva 14
Switzerland
Fax: +41 22 3727072