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Yves Wiaux
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Dr, Maître Assistant (Senior Researcher) of the University of Geneva. Academic host at EPFL.
birth date: 11.03.1976
nationality: Belgian
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office(s):
ELE239
phone(s): [+41 21 69] 34709
fax: [+41 21 69] 37600
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EDUCATION AND WORK POSITIONS
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I received the M.S. degree in Physics and the Ph.D. degree in Theoretical Physics from the Université catholique de Louvain (UCL, Louvain-la-Neuve) in Belgium, in 1999 and 2002 respectively. I was a Postdoctoral Researcher at the Signal Processing Laboratories of the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland from 2003 to 2008. I was also a Postdoctoral Researcher of the Belgian National Science Foundation (F.R.S.-FNRS) at the Physics Department of UCL in Belgium from 2005 to 2009.
As of today and since 2009, I am a Maître Assistant (Senior Researcher) of the University of Geneva (UNIGE) in Switzerland, and academic host at the Department of Radiology and Medical Informatics of UNIGE and the Institute of Electrical Engineering and the Institute of Bioengineering of EPFL. I am also a member of the Inter-Institutional Center for Biomedical Imaging (CIBM) of EPFL, the Universities of Lausanne (UNIL) and Geneva (UNIGE), and the hospitals of Lausanne (CHUV) and Geneva (HUG).
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RESEARCH AND PUBLICATIONS
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I have a multidisciplinary expertise in the fields of signal processing and applications in biomedical sciences and astrophysics.
Fields of expertise:
Advanced signal processing: wavelet techniques, compressed sensing, signal processing on the sphere.
Biomedical imaging: data acquisition and image reconstruction in magnetic resonance imaging.
Astrophysics: imaging techniques in radio interferometry, cosmological data analysis.
Publications:
[more than publications; more than 500 citations; h-index 14]
See my main publications on EPFL infoscience, as well as publication records on Google Scholar Citations.
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BASP RESEARCH NODE
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I coordinate the Biomedical and Astrophysical Signal Processing (BASP) research node, informal structure that I created at the Signal Processing Laboratories of EPFL, currently comprising two postdoctoral researchers, two Ph.D. students, and an intern, all affiliated to EPFL Laboratories.
Members:
R. Carrillo, Postdoctoral researcher
A. Daducci, Postdoctoral researcher
G. Puy, Ph. D. Student
D. Khabipova, Ph. D. Student
A. Auria Rasclosa, intern
Alumni:
J. D. McEwen, now at UCL London
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HOT NEWS
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[November 2011] HARDI reconstruction Workshop 2012:
In the context of the IEEE International Symposium on Biomedical Imaging (ISBI 2012) conference which will be held in Barcelona, Spain, from 2 to 5 May 2012, we organize a workshop on high angular resolution diffusion MRI reconstruction techniques. This workshop will be hosted in the workshops and tutorials special session of the main conference.
The goal of the workshop is to gather researchers working in this field around a table to discuss, share thoughts and explore new challenges in the exciting field of diffusion MRI signal modelling and reconstruction. In this aim, we organize a diffusion MRI reconstruction contest inside the workshop itself, hence providing a way for different groups to propose their own algorithms and to fairly compare their methods against the others on a common set of ground-truth data.
If you are interested to participate, do not not hesitate to browse the workshop website.
Registration deadline: January 20, 2012.
[September 2011] BASP Frontiers Workshop 2011:
The International BASP Frontiers Workshop took place in the nice Swiss resort of Villars in Switzerland from Sept 04 until Sept 09, 2011. The Workshop gathered experts on the multidisciplinary theme of "Fourier Sampling for Magnetic Resonance and Radio Interferometric Imaging".
Do not not hesitate to browse the workshop website and stay tuned for info on the next edition.
[September 2011] Available Postdoc and Ph.D. positions with BASP:
The BASP research node is currently gathering applications for postdoc and Ph.D. positions to start in late 2011 and early 2012, on themes related to the application of advanced signal processing techniques (wavelets, compressive sampling, signal processing on non-Euclidean manifolds) for both magnetic resonance imaging (diffusion imaging, parallel imaging, etc.) and radio interferometric imaging (wide field of view imaging, direction dependent effects etc.). Do not hesitate to contact me directly by email to inquire about available positions.
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STUDENT PROJECTS
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Various Master projects are available this semester with the BASP node.
[Spring 2012] - 1 - Compressed sensing for radio interferometric imaging
The very new theory of compressed sensing generically aims at merging the two steps of signal acquisition and compression, surfing on the idea that a large variety of natural signals are sparse, i.e. that they can be expressed in terms of a small number of coefficients in some basis. It represents a significant evolution in sampling theory, beyond the well-known Nyquist-Shannon sampling theorem requiring a signal to be sampled at a frequency of twice its bandwidth to be exactly known. The theory demonstrates that for sparse signals a small number of measurements may suffice for an accurate and stable reconstruction.
Radio interferometric telescopes allow astronomers to make radio observations of the sky at otherwise inaccessible angular resolution and sensitivity. We are about to enter a new era of radio astronomy, with new radio interferometers under construction and design. One notable example is the Square Kilometer Array (SKA), whose science goals range from cosmology and astrobiology, to strong field gravity. However, novel imaging techniques will be required to ensure that new radio telescopes are able to meet their scientific goals. Radio interferometric observations provide incomplete measurements of the Fourier space of the image of interest. Recovering interferometric images is therefore an ill-posed inverse problem, which has recently been tackled successfully with compressed sensing techniques.
The goal of this project is to examine the application of compressed sensing to radio interferometric imaging in a more realistic setting than previous studies, accounting in particular for wide fields of view on the sky and gridding issues in Fourier space. This research work will extend from theoretical to numerical grounds. It will be performed in the context of the collaboration of the BASP research node with major radio astronomy observatories in the world.
Project type: Diploma project;
Requirements: Matlab/C programming, good knowledge of signal/image processing and/or astronomical imaging; Supervisor: Dr Yves Wiaux, Head of BASP
[Spring 2012] - 2 - Compressed sensing for high resolution functional magnetic resonance imaging
The very new theory of compressed sensing generically aims at merging the two steps of signal acquisition and compression, surfing on the idea that a large variety of natural signals are sparse, i.e. that they can be expressed in terms of a small number of coefficients in some basis. It represents a significant evolution in sampling theory, beyond the well-known Nyquist-Shannon sampling theorem requiring a signal to be sampled at a frequency of twice its bandwidth to be exactly known. The theory demonstrates that for sparse signals a small number of measurements may suffice for an accurate and stable reconstruction.
Functional magnetic resonance imaging (fMRI) is a powerful biomedical imaging technique aiming at mapping the neural activity in the brain associated with specific tasks. The four-dimensional spatio-temporal signals under scrutiny are buried under both the background signal in the absence of activation, and measurement noise. The mapping of the activation requires a strong processing of the signal acquired, notably encompassing the analysis of the correlation between the time series pixel-wise and the known original task. In this extremely challenging context, the spatio-temporal resolutions currently achievable are often poor, so that any means for resolution enhancement would be of major interest.
In this regard, the spatial spiky structure of the activation pattern is extremely sparse in image space, while its temporal structure is sparse in a domain of known waveforms corresponding to the task profile. In a compressed sensing approach this should allow for a drastic acceleration of the acquisition process, ultimately providing the resolution enhancement sought. The project will aim at studying such an approach, in comparison or conjunction with other acceleration techniques. This research work will extend from theoretical and numerical grounds, to the acquisition and analysis of real data. It will be performed in the context of the collaboration of the BASP research node with the EPFL Center for Biomedical Imaging (CIBM).
Project type: Diploma project;
Requirements: Matlab/C programming, good knowledge of signal/image processing and/or astronomical imaging; Supervisor: Dr Yves Wiaux, Head of BASP
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Scientist