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Computer Science

D-Index
37
Citations
5057
World Ranking
10867
National Ranking
684

Overview

Yves Wiaux is affiliated with Heriot-Watt University in the United Kingdom. Their research spans a range of fields primarily within physics and engineering, emphasizing astronomy, astrophysics, and imaging technologies.

Their work has been published extensively in notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Monthly Notices of the Royal Astronomical Society
  • The Astrophysical Journal Supplement Series
  • The Astrophysical Journal Letters
  • Journal of Imaging

Wiaux's main fields of study are physics and astronomy and engineering, with subfields focusing on astronomy and astrophysics, environmental engineering, radiology, nuclear medicine and imaging, aerospace engineering, and biomedical engineering.

The main topics covered in their research are:

  • Radio Astronomy Observations and Technology
  • Soil Moisture and Remote Sensing
  • Sparse and Compressive Sensing Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Astrophysics and Cosmic Phenomena
  • Medical Imaging Techniques and Applications
  • Optical measurement and interference techniques

Wiaux has contributed to several recent papers, including:

  • The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1, 2020, Astronomy and Astrophysics
  • Learning Maximally Monotone Operators for Image Recovery, 2021, SIAM Journal on Imaging Sciences
  • Image reconstruction algorithms in radio interferometry: From handcrafted to learned regularization denoisers, 2022, Monthly Notices of the Royal Astronomical Society
  • The LOFAR Two Meter Sky Survey: Deep Fields, I -- Direction-dependent calibration and imaging, 2020, Durham Research Online (Durham University)
  • First AI for Deep Super-resolution Wide-field Imaging in Radio Astronomy: Unveiling Structure in ESO 137-006, 2022, The Astrophysical Journal Letters

They collaborate frequently with other researchers, including:

  • Arwa Dabbech
  • William Henry Jackson
  • Audrey Repetti
  • Matthieu Terris
  • Amir Aghabiglou

Best Publications

  • Compressed sensing imaging techniques for radio interferometry

    Yves Wiaux;Yves Wiaux;Laurent Jacques;Laurent Jacques;Gilles Puy;A. M. M. Scaife

  • The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1. I. Direction-dependent calibration and imaging

    C. Tasse;C. Tasse;C. Tasse;T. Shimwell;T. Shimwell;M. J. Hardcastle;S. P. O’Sullivan

  • Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI

    Alessandro Daducci;Erick Jorge Canales-Rodriguez;Maxime Descoteaux;Eleftherios Garyfallidis

  • Sparsity Averaging Reweighted Analysis (SARA): a novel algorithm for radio‐interferometric imaging

    Rafael E Carrillo;Jason D McEwen;Yves Wiaux;Yves Wiaux

  • A Novel Sampling Theorem on the Sphere

    J. D. McEwen;Y. Wiaux

  • A Compressed Sensing Framework for Magnetic Resonance Fingerprinting

    Michael Davies;Gilles Puy;Pierre Vandergheynst;Yves Wiaux

  • PURIFY: a new approach to radio-interferometric imaging

    Rafael E. Carrillo;Jason D. McEwen;Yves Wiaux

  • Correspondence principle between spherical and euclidean wavelets

    Yves Wiaux;L. Jacques;Pierre Vandergheynst

  • Exact reconstruction with directional wavelets on the sphere

    Yves Wiaux;Jason D McEwen;Pierre Vandergheynst;O. Blanc

  • On Variable Density Compressive Sampling

    Gilles Puy;Pierre Vandergheynst;Yves Wiaux

  • Scalable splitting algorithms for big-data interferometric imaging in the SKA era

    Alexandru Onose;Rafael E. Carrillo;Audrey Repetti;Jason D. McEwen

  • Learning Maximally Monotone Operators for Image Recovery

    Jean-Christophe Pesquet;Audrey Repetti;Matthieu Terris;Yves Wiaux

  • Sparsity Averaging for Compressive Imaging

    Rafael E. Carrillo;Jason D. McEwen;Dimitri Van De Ville;Jean-Philippe Thiran

  • Spread spectrum for imaging techniques in radio interferometry

    Yves Wiaux;Yves Wiaux;Gilles Puy;Yannick Boursier;Pierre Vandergheynst

  • Computational time-of-flight diffuse optical tomography

    Ashley Lyons;Francesco Tonolini;Alessandro Boccolini;Audrey Repetti

  • Spread Spectrum Magnetic Resonance Imaging

    G. Puy;J. P. Marques;R. Gruetter;J. Thiran

  • Compressed sensing for wide-field radio interferometric imaging

    Jason D McEwen;Yves Wiaux;Yves Wiaux

  • Spread spectrum magnetic resonance imaging

    Gilles Puy;Jose P. Marques;Rolf Gruetter;Jean-Philippe Thiran

  • Fast directional correlation on the sphere with steerable filters

    Yves Wiaux;L. Jacques;P. Vielva;Pierre Vandergheynst

  • Learning Maximally Monotone Operators for Image Recovery

    Jean-Christophe Pesquet;Audrey Repetti;Matthieu Terris;Yves Wiaux

  • Computational time-of-flight diffuse optical tomography

    Ashley Lyons;Francesco Tonolini;Alessandro Boccolini;Audrey Repetti

  • Compressed sensing imaging techniques for radio interferometry

    Y. Wiaux;Y. Wiaux;L. Jacques;L. Jacques;G. Puy;A. M. M. Scaife

Frequent Co-Authors

Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
Daniel C. Alexander
Daniel C. Alexander University College London
Hiranya V. Peiris
Hiranya V. Peiris University College London
Michael P. Hobson
Michael P. Hobson University of Cambridge
Filipe B. Abdalla
Filipe B. Abdalla University College London
Rodney A. Kennedy
Rodney A. Kennedy Australian National University
Robert Henderson
Robert Henderson University of Edinburgh

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