World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
20468
World Ranking
2848
National Ranking
1407

Research.com Recognitions

  • 2015 - Fellow, National Academy of Inventors
  • 2008 - SPIE Fellow

Overview

Charles A. Bouman is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the fields of Medicine and Engineering, with a particular focus on subfields including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition, and Atomic and Molecular Physics, and Optics.

The scientist's work centers on several key topics such as Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Nuclear Physics and Applications, Advanced MRI Techniques and Applications, Advanced X-ray Imaging Techniques, Photoacoustic and Ultrasonic Imaging, and Radiation Dose and Imaging.

Charles A. Bouman has contributed to numerous publications across multiple venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Imaging
  • IEEE Signal Processing Magazine
  • Optics Express
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers

Among recent papers authored or coauthored are:

  • "X-ray computed tomography" (2021), Nature Reviews Methods Primers
  • "Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery" (2020), IEEE Signal Processing Magazine
  • "Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications" (2023), IEEE Signal Processing Magazine
  • "Fast and Robust UAV to UAV Detection and Tracking From Video" (2021), IEEE Transactions on Emerging Topics in Computing
  • "Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging" (2022), arXiv (Cornell University)

The scientist has collaborated frequently with several coauthors, including:

  • Gregery T. Buzzard
  • Singanallur Venkatakrishnan
  • Brendt Wohlberg
  • Diyu Yang
  • Shimin Tang

Charles A. Bouman has published a book titled Foundations of Computational Imaging: A Model-Based Approach in 2022, released by the Society for Industrial and Applied Mathematics.

Recognitions received by the scientist include being named a Fellow of the National Academy of Inventors in 2015 and a SPIE Fellow in 2008.

Best Publications

  • A generalized Gaussian image model for edge-preserving MAP estimation

    C. Bouman;K. Sauer

  • A three-dimensional statistical approach to improved image quality for multislice helical CT.

    Jean-Baptiste Thibault;Ken D. Sauer;Charles A. Bouman;Jiang Hsieh

  • Plug-and-Play priors for model based reconstruction

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

  • A multiscale random field model for Bayesian image segmentation

    C.A. Bouman;M. Shapiro

  • X-ray computed tomography

    Philip J. Withers;Charles Bouman;Simone Carmignato;Veerle Cnudde;Veerle Cnudde

  • Color quantization of images

    M.T. Orchard;C.A. Bouman

  • A local update strategy for iterative reconstruction from projections

    K. Sauer;C. Bouman

  • Multiple resolution segmentation of textured images

    C. Bouman;B. Liu

  • A unified approach to statistical tomography using coordinate descent optimization

    C.A. Bouman;K. Sauer

  • Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization

    Zhou Yu;J Thibault;C A Bouman;K D Sauer

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

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

  • Direct reconstruction of kinetic parameter images from dynamic PET data

    M.E. Kamasak;C.A. Bouman;E.D. Morris;K. Sauer

  • CLUSTER: An Unsupervised Algorithm for Modeling Gaussian Mixtures

    Charles A. Bouman

  • Optimal image scaling using pixel classification

    C.B. Atkins;C.A. Bouman;J.P. Allebach

  • ML parameter estimation for Markov random fields with applications to Bayesian tomography

    S.S. Saquib;C.A. Bouman;K. Sauer

  • Perceptual image similarity experiments

    Bernice E. Rogowitz;Thomas Frese;John R. Smith;Charles A. Bouman

  • Hierarchical browsing and search of large image databases

    Jau-Yuen Chen;C.A. Bouman;J.C. Dalton

  • Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery

    Rizwan Ahmad;Charles A. Bouman;Gregery T. Buzzard;Stanley Chan

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

    Unknown

  • Optimized error diffusion for image display

    Bernd W. Kolpatzik;Charles A. Bouman

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

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

  • ViBE: a compressed video database structured for active browsing and search

    C. Taskiran;Jau-Yuen Chen;A. Albiol;L. Torres

Frequent Co-Authors

Jan P. Allebach
Jan P. Allebach Purdue University West Lafayette
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Jiang Hsieh
Jiang Hsieh General Electric (Spain)
Eric L. Miller
Eric L. Miller Tufts University
Jong Chul Ye
Jong Chul Ye Korea Advanced Institute of Science and Technology
Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Patrick J. Wolfe
Patrick J. Wolfe Purdue University West Lafayette
Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Michael D. Uchic
Michael D. Uchic United States Air Force Research Laboratory

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