World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
24472
World Ranking
6279
National Ranking
2807

Research.com Recognitions

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Michael Lustig is affiliated with the University of California, Berkeley in the United States. Their research primarily spans medicine and engineering, with significant focus on medical imaging and advanced MRI techniques.

The scientist's main fields of study include:

  • Medicine
  • Engineering

Within these fields, key subfields of study in their work are:

  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

The central topics covered in their publications are:

  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Advanced Neuroimaging Techniques and Applications
  • Wireless Body Area Networks
  • Radiomics and Machine Learning in Medical Imaging
  • Photoacoustic and Ultrasonic Imaging

Michael Lustig has published in various venues, with frequent contributions to:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition / Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Advanced Materials Technologies

The scientist's recent papers include:

  • "Implicit data crimes: Machine learning bias arising from misuse of public data" (2022), Proceedings of the National Academy of Sciences
  • "Extreme MRI: Large-scale volumetric dynamic imaging from continuous non-gated acquisitions" (2020), Magnetic Resonance in Medicine
  • "Impact Tech Startups: A Conceptual Framework, Machine-Learning-Based Methodology and Future Research Directions" (2021), Sustainability
  • "Direct 16S/18S rRNA Gene PCR Followed by Sanger Sequencing as a Clinical Diagnostic Tool for Detection of Bacterial and Fungal Infections: a Systematic Review and Meta-Analysis" (2023), Journal of Clinical Microbiology
  • "Quantitative anatomy mimicking slice phantoms" (2021), Magnetic Resonance in Medicine

Frequent co-authors collaborating with Michael Lustig are:

  • Shreyas Vasanawala
  • Ana Claudia Arias
  • Julian Maravilla
  • Frank Ong
  • Peder E. Z. Larson

Among honors received, Michael Lustig was awarded the Fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

  • Sparse MRI: The application of compressed sensing for rapid MR imaging.

    Michael Lustig;David Donoho;John M. Pauly

  • An Interior-Point Method for Large-Scale $ll_1$ -Regularized Least Squares

    Seung-Jean Kim;K. Koh;M. Lustig;S. Boyd

  • Compressed Sensing MRI

    M. Lustig;D.L. Donoho;J.M. Santos;J.M. Pauly

  • ESPIRiT--an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

    Martin Uecker;Peng Lai;Mark J. Murphy;Patrick Virtue

  • SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space.

    Michael Lustig;Michael Lustig;John M. Pauly

  • k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity

    M. Lustig;J. M. Santos;D. L. Donoho;J. M. Pauly

  • Calibrationless parallel imaging reconstruction based on structured low‐rank matrix completion

    Peter J. Shin;Peter J. Shin;Peder E. Z. Larson;Peder E. Z. Larson;Michael A. Ohliger;Michael Elad

  • Fast $ll_1$ -SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime

    M. Murphy;M. Alley;J. Demmel;K. Keutzer

  • Coil compression for accelerated imaging with Cartesian sampling.

    Tao Zhang;John M. Pauly;Shreyas S. Vasanawala;Michael Lustig

  • Improved Pediatric MR Imaging with Compressed Sensing

    Shreyas S. Vasanawala;Marcus T. Alley;Brian A. Hargreaves;Richard A. Barth

  • Compressed sensing for resolution enhancement of hyperpolarized 13C flyback 3D-MRSI.

    Simon Hu;Michael Lustig;Albert P. Chen;Jason Crane

  • T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging

    Jonathan I. Tamir;Martin Uecker;Weitian Chen;Peng Lai

  • Multi-Scale Dictionary Learning Using Wavelets

    B. Ophir;M. Lustig;M. Elad

  • Screen-printed flexible MRI receive coils

    Joseph R. Corea;Anita M. Flynn;Balthazar Lechêne;Greig Scott

  • Fast dynamic 3D MR spectroscopic imaging with compressed sensing and multiband excitation pulses for hyperpolarized 13C studies.

    Peder E. Z. Larson;Simon Hu;Michael Lustig;Adam B. Kerr

  • Multiband excitation pulses for hyperpolarized 13C dynamic chemical-shift imaging

    Peder E.Z. Larson;Adam B. Kerr;Albert P. Chen;Michael S. Lustig

  • Free‐breathing pediatric MRI with nonrigid motion correction and acceleration

    Joseph Y. Cheng;Tao Zhang;Nichanan Ruangwattanapaisarn;Marcus T. Alley

  • Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

    SS Vasanawala;MJ Murphy;MT Alley;P Lai

  • 3D compressed sensing for highly accelerated hyperpolarized (13)C MRSI with in vivo applications to transgenic mouse models of cancer.

    Simon Hu;Michael Lustig;Asha Balakrishnan;Peder E. Z. Larson

  • Better than real: Complex-valued neural nets for MRI fingerprinting

    Patrick Virtue;Stella X. Yu;Michael Lustig

  • Pulse sequence for dynamic volumetric imaging of hyperpolarized metabolic products

    Charles H. Cunningham;Albert P. Chen;Michael Lustig;Brian A. Hargreaves

Frequent Co-Authors

John M. Pauly
John M. Pauly Stanford University
Dwight G. Nishimura
Dwight G. Nishimura Stanford University
Ana Claudia Arias
Ana Claudia Arias University of California, Berkeley
David L. Donoho
David L. Donoho Stanford University
Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Kawin Setsompop
Kawin Setsompop Stanford University
Stephen Boyd
Stephen Boyd Stanford University
Nathan McDannold
Nathan McDannold Brigham and Women's Hospital

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