World's Best Scientists 2026 revealed!
Mostafa Fatemi

Mostafa Fatemi

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
10280
World Ranking
4784
National Ranking
1371

Research.com Recognitions

  • 2012 - IEEE Fellow For contribution to ultrasound radiation force imaging and tissue characterization
  • 2007 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Mostafa Fatemi is a researcher affiliated with the Mayo Clinic in the United States. Their work primarily spans the fields of Medicine and Engineering, with significant contributions in Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering. Their research portfolio extensively covers applications of Artificial Intelligence within healthcare settings and medical imaging technologies.

The scientist's research topics include:

  • Ultrasound Imaging and Elastography
  • Ultrasound and Hyperthermia Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Photoacoustic and Ultrasonic Imaging
  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Artificial Intelligence in Healthcare and Education

Fatemi has coauthored numerous publications with frequent collaborators such as Azra Alizad, Jasjit S. Suri, Narendra N. Khanna, John R. Laird, and Amer M. Johri.

Notable venues where Fatemi's work has appeared include:

  • IEEE Access
  • Diagnostics
  • Scientific Reports
  • Breast Cancer Research
  • Computers in Biology and Medicine

Recent significant papers by Mostafa Fatemi feature diverse applications of AI and medical imaging techniques, including:

  • "Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment", 2022, Healthcare
  • "COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review", 2020, Computers in Biology and Medicine
  • "Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning", 2020, IEEE Access
  • "UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias", 2022, IEEE Access
  • "A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence", 2021, Computers in Biology and Medicine

Their contributions have been recognized through awards including the IEEE Fellow distinction awarded in 2012 for contributions to ultrasound radiation force imaging and tissue characterization, and the Fellowship of the Indian National Academy of Engineering (INAE) earned in 2007.

Best Publications

  • Selected methods for imaging elastic properties of biological tissues.

    James F. Greenleaf;Mostafa Fatemi;Michael Insana

  • Ultrasound-Stimulated Vibro-Acoustic Spectrography

    Mostafa Fatemi;James F. Greenleaf

  • Vibro-acoustography: an imaging modality based on ultrasound-stimulated acoustic emission.

    Mostafa Fatemi;James F. Greenleaf

  • Quantifying elasticity and viscosity from measurement of shear wave speed dispersion

    Shigao Chen;Mostafa Fatemi;James F. Greenleaf

  • AN OVERVIEW OF ELASTOGRAPHY - AN EMERGING BRANCH OF MEDICAL IMAGING.

    Armen Sarvazyan;Timothy J. Hall;Matthew W. Urban;Mostafa Fatemi

  • Probing the dynamics of tissue at low frequencies with the radiation force of ultrasound

    Mostafa Fatemi;James F Greenleaf

  • Vibro-acoustic tissue mammography

    M. Fatemi;L.E. Wold;A. Alizad;J.F. Greenleaf

  • Ultrasonic B-scan imaging: theory of image formation and a technique for restoration.

    Mostafa Fatemi;A. C. Kak

  • Imaging elastic properties of biological tissues by low-frequency harmonic vibration

    M. Fatemi;A. Manduca;J.F. Greenleaf

  • Noninvasive method for estimation of complex elastic modulus of arterial vessels

    Xiaoming Zhang;R.R. Kinnick;M. Fatemi;J.F. Greenleaf

  • Ultrasonic B-scan imaging: theory of image formation and a technique for restoration.

    Unknown

  • Performance of vibro-acoustography in detecting microcalcifications in excised human breast tissue: a study of 74 tissue samples

    A. Alizad;M. Fatemi;L.E. Wold;J.F. Greenleaf

  • A Review of Shearwave Dispersion Ultrasound Vibrometry (SDUV) and its Applications.

    Matthew W. Urban;Shigao Chen;Mostafa Fatemi

  • Remote measurement of material properties from radiation force induced vibration of an embedded sphere

    Shigao Chen;Mostafa Fatemi;James F. Greenleaf

  • Automated and real-time segmentation of suspicious breast masses using convolutional neural network

    Viksit Kumar;Jeremy M. Webb;Adriana Gregory;Max Denis

  • Application of radiation force in noncontact measurement of the elastic parameters.

    Mostafa Fatemi;James F. Greenleaf

  • COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

    Jasjit S. Suri;Anudeep Puvvula;Mainak Biswas;Misha Majhail

  • Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning

    Viksit Kumar;Jeremy Webb;Adriana Gregory;Duane D. Meixner

  • A Review of Vibro-acoustography and its Applications in Medicine.

    Matthew W. Urban;Azra Alizad;Wilkins Aquino;James F. Greenleaf

  • Method and apparatus for fetal audio stimulation

    Mostafa Fatemi

  • Imaging mass lesions by vibro-acoustography: modeling and experiments

    A. Alizad;L.E. Wold;J.F. Greenleaf;M. Fatemi

  • Comparison of stress field forming methods for vibro-acoustography

    Shigao Chen;M. Fatemi;R. Kinnick;J.F. Greenleaf

  • Shear Wave Dispersion Ultrasonic Vibrometry for Measuring Prostate Shear Stiffness and Viscosity: An In Vitro Pilot Study

    F G Mitri;M W Urban;M Fatemi;J F Greenleaf

  • An Inverse Problem Approach for Elasticity Imaging through Vibroacoustics

    M.A. Aguilo;W. Aquino;J.C. Brigham;M. Fatemi

Frequent Co-Authors

Matthew W. Urban
Matthew W. Urban Mayo Clinic
Shigao Chen
Shigao Chen Mayo Clinic
Farid G. Mitri
Farid G. Mitri Chevron (Netherlands)
Jeremy S. Webb
Jeremy S. Webb University of Southampton
Michael F. Insana
Michael F. Insana University of Illinois at Urbana-Champaign
Judy C. Boughey
Judy C. Boughey Mayo Clinic
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Timothy J. Hall
Timothy J. Hall University of Wisconsin–Madison
George D. Kitas
George D. Kitas Dudley Group NHS Foundation Trust

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