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Computer Science

D-Index
36
Citations
6576
World Ranking
11134
National Ranking
4620

Overview

Brendt Wohlberg is affiliated with Los Alamos National Laboratory in the United States and specializes in Engineering with a focus on subfields such as Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Geophysics, Biomedical Engineering, and Computer Vision and Pattern Recognition.

Wohlberg's research has contributed extensively to topics including Sparse and Compressive Sensing Techniques, Medical Imaging Techniques and Applications, Photoacoustic and Ultrasonic Imaging, Seismic Imaging and Inversion Techniques, Advanced X-ray Imaging Techniques, Seismic Waves and Analysis, and Image and Signal Denoising Methods.

Recent papers authored or coauthored by Wohlberg include:

  • Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications (2023), published in IEEE Signal Processing Magazine
  • CoIL: Coordinate-Based Internal Learning for Tomographic Imaging (2021), published in IEEE Transactions on Computational Imaging
  • Scalable Plug-and-Play ADMM With Convergence Guarantees (2021), published in IEEE Transactions on Computational Imaging
  • Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion (2023), published in IEEE Signal Processing Magazine
  • SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees (2021), published in IEEE Transactions on Computational Imaging

Wohlberg frequently collaborates with several researchers, including:

  • Ulugbek S. Kamilov
  • Charles A. Bouman
  • Jiaming Liu
  • Youzuo Lin
  • Michael T. McCann

The scientist has published in notable venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Imaging
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Open Journal of Signal Processing

Best Publications

  • Plug-and-Play priors for model based reconstruction

    Singanallur V. Venkatakrishnan;Charles A. Bouman;Brendt Wohlberg

  • A review of the fractal image coding literature

    B. Wohlberg;G. De Jager

  • Efficient Algorithms for Convolutional Sparse Representations

    Brendt Wohlberg

  • Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

    Suhas Sreehari;S. V. Venkatakrishnan;Brendt Wohlberg;Gregery T. Buzzard

  • Efficient Minimization Method for a Generalized Total Variation Functional

    P. Rodriguez;B. Wohlberg

  • A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems

    Ulugbek S. Kamilov;Hassan Mansour;Brendt Wohlberg

  • Efficient convolutional sparse coding

    Brendt Wohlberg

  • Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications

    Unknown

  • Convolutional Dictionary Learning: A Comparative Review and New Algorithms

    Cristina Garcia-Cardona;Brendt Wohlberg

  • Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

    Suhas Sreehari;S. V. Venkatakrishnan;Brendt Wohlberg;Lawrence F. Drummy

  • A nonconvex ADMM algorithm for group sparsity with sparse groups

    Rick Chartrand;Brendt Wohlberg

  • Incremental Principal Component Pursuit for Video Background Modeling

    Paul Rodriguez;Brendt Wohlberg

  • An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals

    B. Wohlberg;P. Rodriguez

  • Fast principal component pursuit via alternating minimization

    Paul Rodriguez;Brendt Wohlberg

  • An Online Plug-and-Play Algorithm for Regularized Image Reconstruction

    Yu Sun;Brendt Wohlberg;Ulugbek S. Kamilov

  • Blind Image Deconvolution Motion Blur Estimation

    Felix Krahmer;Youzuo Lin;Bonnie McAdoo;Katharine Ott

  • An Online Plug-and-Play Algorithm for Regularized Image Reconstruction.

    Yu Sun;Brendt Wohlberg;Ulugbek S. Kamilov

  • A Gradient Descent Solution to the Monge-Kantorovich Problem

    Rick Chartrand;Brendt Wohlberg;Kevin R. Vixie;Erik M. Bollt

  • CoIL: Coordinate-based Internal Learning for Tomographic Imaging

    Yu Sun;Jiaming Liu;Mingyang Xie;Brendt Wohlberg

  • Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery

    James Theiler;Clint Scovel;Brendt Wohlberg;Bernard R Foy

  • UPRE method for total variation parameter selection

    Youzuo Lin;Brendt Wohlberg;Hongbin Guo

  • Subsurface characterization with support vector machines

    B. Wohlberg;D.M. Tartakovsky;A. Guadagnini

  • Scalable Plug-and-Play ADMM With Convergence Guarantees

    Yu Sun;Zihui Wu;Xiaojian Xu;Brendt Wohlberg

  • Fast image domain fractal compression by DCT domain block matching

    B.E. Wohlberg;G. de Jager

Frequent Co-Authors

James Theiler
James Theiler Los Alamos National Laboratory
Charles A. Bouman
Charles A. Bouman Purdue University West Lafayette
Alberto Guadagnini
Alberto Guadagnini Polytechnic University of Milan
Alessandro Foi
Alessandro Foi Tampere University
Wotao Yin
Wotao Yin Alibaba Group (China)
Aaron J. Ridley
Aaron J. Ridley University of Michigan–Ann Arbor
Sven C. Vogel
Sven C. Vogel Los Alamos National Laboratory
Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Mihai Anitescu
Mihai Anitescu Argonne National Laboratory
P. L. McGaughey
P. L. McGaughey Los Alamos National Laboratory

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