World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
18795
World Ranking
823
National Ranking
287

Research.com Recognitions

  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2010 - SPIE Fellow

Overview

Ehsan Samei is a researcher affiliated with Duke University in the United States. Their work primarily focuses on the intersection of medicine and engineering, with a specialization in imaging sciences. The main fields of study for this scientist include Medicine and Engineering, demonstrating a multidisciplinary approach to advancing healthcare technologies.

The subfields in which Ehsan Samei has contributed notably include Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation, and Health Informatics.

The scientist's research topics span a diverse array of subjects related to medical imaging and radiation, which include:

  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Radiology practices and education
  • Digital Radiography and Breast Imaging
  • Lung Cancer Diagnosis and Treatment

Ehsan Samei has published research in multiple scientific venues, with frequent publications in the following:

  • Medical Physics
  • Medical Imaging 2022: Physics of Medical Imaging
  • Journal of Medical Imaging
  • arXiv (Cornell University)
  • Physics in Medicine and Biology

Some of the notable recent papers authored or co-authored by Ehsan Samei include:

  • "Virtual clinical trials in medical imaging: a review" (2020), published in Journal of Medical Imaging
  • "Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm" (2020), published in Medical Physics
  • "Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases" (2022), published in Radiology
  • "Comparison of Low Dose Performance of Photon-Counting and Energy Integrating CT" (2020), published in Academic Radiology
  • "U.S. Diagnostic Reference Levels and Achievable Doses for 10 Pediatric CT Examinations" (2021), published in Radiology

Their recent collaborative works involve frequent co-authors, including:

  • Ehsan Abadi
  • W. Paul Segars
  • Francesco Ria
  • Joseph Y. Lo
  • Justin Solomon

Among academic honors, Ehsan Samei has been recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2017 and as an SPIE Fellow in 2010.

Best Publications

  • A method for measuring the presampled MTF of digital radiographic systems using an edge test device

    Ehsan Samei;Ehsan Samei;Michael J. Flynn;Michael J. Flynn;David A. Reimann

  • Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm--initial clinical experience.

    Daniele Marin;Rendon C. Nelson;Sebastian T. Schindera;Samuel Richard

  • Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms

    Samuel Richard;Daniela B. Husarik;Girijesh Yadava;Simon N. Murphy

  • An experimental comparison of detector performance for direct and indirect digital radiography systems

    Ehsan Samei;Michael J. Flynn

  • Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report.

    Ehsan Samei;Aldo Badano;Dev Chakraborty;Dev Chakraborty;Ken Compton

  • Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.

    Cynthia H. McCollough;Guang Hong Chen;Willi Kalender;Shuai Leng

  • Intercomparison of methods for image quality characterization. II. Noise power spectrum.

    James T. Dobbins;Ehsan Samei;Nicole T. Ranger;Ying Chen

  • Hypervascular Liver Tumors: Low Tube Voltage, High Tube Current Multidetector CT during Late Hepatic Arterial Phase for Detection—Initial Clinical Experience

    Daniele Marin;Rendon C. Nelson;Ehsan Samei;Erik K. Paulson

  • Detection of Subtle Lung Nodules: Relative Influence of Quantum and Anatomic Noise on Chest Radiographs

    Ehsan Samei;Michael J. Flynn;William R. Eyler

  • Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233

    Ehsan Samei;Donovan Bakalyar;Kirsten L. Boedeker;Samuel Brady

  • Recent Advances in Chest Radiography

    H. Page McAdams;Ehsan Samei;James Dobbins;Georgia D. Tourassi

  • Population of anatomically variable 4D XCAT adult phantoms for imaging research and optimization

    W. P. Segars;Jason Bond;Jack Frush;Sylvia Hon

  • Intercomparison of methods for image quality characterization. I. Modulation transfer function

    Ehsan Samei;Nicole T. Ranger;James T. Dobbins;Ying Chen

  • Hypervascular Liver Tumors: Low Tube Voltage, High Tube Current Multi–Detector Row CT for Enhanced Detection—Phantom Study

    Sebastian T. Schindera;Rendon C. Nelson;Srinivasan Mukundan;Erik K. Paulson

  • Assessment of the dose reduction potential of a model-based iterative reconstruction algorithm using a task-based performance metrology.

    Ehsan Samei;Samuel Richard

  • Virtual clinical trials in medical imaging: a review

    Ehsan Abadi;William P. Segars;Benjamin M. W. Tsui;Paul E. Kinahan

  • Diagnostic Performance of an Advanced Modeled Iterative Reconstruction Algorithm for Low-Contrast Detectability with a Third-Generation Dual-Source Multidetector CT Scanner: Potential for Radiation Dose Reduction in a Multireader Study

    Justin Solomon;Achille Mileto;Juan Carlos Ramirez-Giraldo;Ehsan Samei

  • A framework for optimising the radiographic technique in digital X-ray imaging

    Ehsan Samei;James T. Dobbins;Joseph Y. Lo;Martin P. Tornai

  • An experimental comparison of detector performance for computed radiography systems.

    Ehsan Samei;Michael J. Flynn

  • An exposure indicator for digital radiography: AAPM Task Group 116 (Executive Summary)

    S. Jeff Shepard;Jihong Wang;Michael Flynn;Eric Gingold

  • Experimental comparison of noise and resolution for 2k and 4k storage phosphor radiography systems.

    Michael J. Flynn;Michael J. Flynn;Ehsan Samei;Ehsan Samei

  • Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm

    Justin Solomon;Peijei Lyu;Daniele Marin;Ehsan Samei

Frequent Co-Authors

Joseph Y. Lo
Joseph Y. Lo Duke University
Rendon C. Nelson
Rendon C. Nelson Duke University
Erik K. Paulson
Erik K. Paulson Duke University
Geoffrey D. Rubin
Geoffrey D. Rubin University of Arizona
Elizabeth A. Krupinski
Elizabeth A. Krupinski Emory University
Benjamin J. Wiley
Benjamin J. Wiley Duke University
Craig K. Abbey
Craig K. Abbey University of California, Santa Barbara
Maciej A. Mazurowski
Maciej A. Mazurowski Duke University
David J. Brady
David J. Brady University of Arizona
Georgia D. Tourassi
Georgia D. Tourassi Oak Ridge National Laboratory

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