World's Best Scientists 2026 revealed!

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Computer Science

D-Index
57
Citations
12384
World Ranking
3859
National Ranking
1826

Research.com Recognitions

  • 2010 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1999 - IEEE Fellow For contributions to computer based imaging and sensor array processing.

Overview

Yoram Bresler is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research intersects multiple disciplines primarily within Computer Science, Engineering, and Medicine, focusing on a range of subfields and key topics related to imaging and signal processing.

Their main subfields of study include:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Artificial Intelligence
  • Computational Mechanics

Bresler's work encompasses a variety of topics, particularly in areas such as:

  • Image and Signal Denoising Methods
  • Medical Imaging Techniques and Applications
  • Photoacoustic and Ultrasonic Imaging
  • Sparse and Compressive Sensing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Model Reduction and Neural Networks
  • Ultrasound and Hyperthermia Applications

The scientist has published extensively, frequently contributing to venues including:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Computational Imaging
  • Scientific Reports
  • IEEE Transactions on Image Processing

Among recent publications are:

  • "Short Acquisition Time Super-Resolution Ultrasound Microvessel Imaging via Microbubble Separation" (2020, Scientific Reports)
  • "Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers" (2020, IEEE Transactions on Image Processing)
  • "Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications" (2023, IEEE Signal Processing Magazine)
  • "Learning to Bound: A Generative Cramér-Rao Bound" (2023, IEEE Transactions on Signal Processing)
  • "Improving Robustness of Deep-Learning-Based Image Reconstruction" (2020, arXiv (Cornell University))

Frequent collaborators of Bresler include Berk Iskender, Bihan Wen, Marc L. Klasky, Hai Victor Habi, and Hagit Messer.

In recognition of professional contributions, Bresler has been named an IEEE Fellow in 1999 for contributions to computer-based imaging and sensor array processing and was also recognized as a Fellow of the Indian National Academy of Engineering in 2010.

Best Publications

  • MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning

    Saiprasad Ravishankar;Yoram Bresler

  • Exact maximum likelihood parameter estimation of superimposed exponential signals in noise

    Y. Bresler;A. Macovski

  • Learning Sparsifying Transforms

    S. Ravishankar;Y. Bresler

  • Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography

    A.H. Delaney;Y. Bresler

  • Spectrum-blind minimum-rate sampling and reconstruction of multiband signals

    Ping Feng;Y. Bresler

  • Perfect reconstruction formulas and bounds on aliasing error in sub-Nyquist nonuniform sampling of multiband signals

    R. Venkataramani;Y. Bresler

  • ADMiRA: Atomic Decomposition for Minimum Rank Approximation

    Kiryung Lee;Yoram Bresler

  • O(N/sup 2/log/sub 2/N) filtered backprojection reconstruction algorithm for tomography

    S. Basu;Y. Bresler

  • Subspace Methods for Joint Sparse Recovery

    Kiryung Lee;Y. Bresler;M. Junge

  • Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms

    G. Harikumar;Y. Bresler

  • Optimal sub-Nyquist nonuniform sampling and reconstruction for multiband signals

    R. Venkataramani;Y. Bresler

  • Multiresolution tomographic reconstruction using wavelets

    A.H. Delaney;Y. Bresler

  • Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications

    Bihan Wen;Saiprasad Ravishankar;Yoram Bresler

  • On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem

    Christophe Couvreur;Christophe Couvreur;Yoram Bresler

  • On the number of signals resolvable by a uniform linear array

    Y. Bresler;A. Macovski

  • Short Acquisition Time Super-Resolution Ultrasound Microvessel Imaging via Microbubble Separation

    Chengwu Huang;Matthew R Lowerison;Matthew R Lowerison;Joshua D Trzasko;Armando Manduca

  • A compact Cramer-Rao bound expression for parametric estimation of superimposed signals

    S.F. Yau;Y. Bresler

  • Optimum beamforming for coherent signal and interferences

    Y. Bresler;V.U. Reddy;T. Kailath

  • Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging

    Saiprasad Ravishankar;Yoram Bresler

  • Spectrum-blind sampling and compressive sensing for continuous-index signals

    Y. Bresler

  • ℓ 0 Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees

    Saiprasad Ravishankar;Yoram Bresler

Frequent Co-Authors

Jong Chul Ye
Jong Chul Ye Korea Advanced Institute of Science and Technology
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign
Eric Michielssen
Eric Michielssen University of Michigan–Ann Arbor
Amir Boag
Amir Boag Tel Aviv University
Rohit Bhargava
Rohit Bhargava University of Illinois at Urbana-Champaign
Thomas Kailath
Thomas Kailath Stanford University
Yihong Wu
Yihong Wu Yale University
Mathews Jacob
Mathews Jacob University of Iowa
Daniel Kim
Daniel Kim Northeastern University
Michael Gastpar
Michael Gastpar École Polytechnique Fédérale de Lausanne

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