World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
8550
World Ranking
7907
National Ranking
2166

Overview

Kyle J. Myers is a researcher affiliated with Texas A&M University in the United States, with a primary focus on the field of Medicine. Their work concentrates heavily on Radiology, Nuclear Medicine and Imaging, along with significant contributions to Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Biomedical Engineering, and Health Informatics.

Their research topics span several specialized areas including:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Cardiovascular Function and Risk Factors
  • Advanced X-ray and CT Imaging
  • COVID-19 diagnosis using AI
  • Lung Cancer Diagnosis and Treatment

Kyle J. Myers has published extensively in several scholarly venues. Frequent publishing outlets include:

  • Journal of Medical Imaging
  • arXiv (Cornell University)
  • Medical Physics
  • European Journal of Cancer
  • bioRxiv (Cold Spring Harbor Laboratory)

Some of their recent significant papers are:

  • "Development of metaverse for intelligent healthcare," 2022, Nature Machine Intelligence
  • "Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential," 2023, Visual Computing for Industry Biomedicine and Art
  • "Direct additive manufacturing of metal parts for automotive applications," 2023, Journal of Manufacturing Systems
  • "Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment," 2023, Journal of Medical Imaging
  • "Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods," 2021, PET Clinics

Kyle J. Myers collaborates frequently with several scholars in their field. Notable co-authors include:

  • Reza Avazmohammadi
  • Maryellen L. Giger
  • Rongping Zeng
  • Sunder Neelakantan
  • Karen Drukker

Best Publications

  • Foundations of Image Science

    Harrison H. Barrett;Kyle J. Myers;Satyapal Rathee

  • Model observers for assessment of image quality

    Harrison H. Barrett;Jie Yao;Jannick P. Rolland;Kyle J. Myers

  • Addition of a channel mechanism to the ideal-observer model.

    Kyle J. Myers;Harrison H. Barrett

  • Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance

    Harrison H. Barrett;J. L. Denny;Robert F. Wagner;Kyle J. Myers

  • Effect of noise correlation on detectability of disk signals in medical imaging

    K. J. Myers;H. H. Barrett;M. C. Borgstrom;D. D. Patton

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

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

  • Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.

    Aldo Badano;Christian G. Graff;Andreu Badal;Diksha Sharma

  • Hotelling trace criterion and its correlation with human-observer performance.

    R. D. Fiete;H. H. Barrett;W. E. Smith;K. J. Myers

  • Noncalcified Lung Nodules: Volumetric Assessment with Thoracic CT

    Marios A. Gavrielides;Lisa M. Kinnard;Kyle J. Myers;Nicholas Petrick

  • Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

    Nancy A Obuchowski;Anthony P Reeves;Erich P Huang;Xiao-Feng Wang

  • Toward consensus on quantitative assessment of medical imaging systems.

    Charles E. Metz;Robert F. Wagner;Kunio Doi;David G. Brown

  • Task-based measures of image quality and their relation to radiation dose and patient risk

    Harrison H Barrett;Kyle J Myers;Christoph Hoeschen;Matthew A Kupinski

  • Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer

    H. Masmoudi;S.M. Hewitt;N. Petrick;K.J. Myers

  • Aperture optimization for emission imaging: effect of a spatially varying background.

    K. J. Myers;J. P. Rolland;H. H. Barrett;R. F. Wagner

  • Objective assessment of image quality and dose reduction in CT iterative reconstruction

    J Y Vaishnav;W C Jung;Lucretiu M Popescu;R Zeng

  • Reconstruction of MR images from data acquired on a general nonregular grid by pseudoinverse calculation

    R. Van De Walle;H.H. Barrett;K.J. Myers;M.I. Aitbach

  • Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA

    Brandon D. Gallas;Heang Ping Chan;Carl J. D'Orsi;Lori E. Dodd

  • A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom

    Marios A. Gavrielides;Lisa M. Kinnard;Kyle J. Myers;Jennifer Peregoy

  • A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data.

    Stefano Young;Predrag R. Bakic;Kyle J. Myers;Robert J. Jennings

  • Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal

    Subok Park;Harrison H. Barrett;Eric Clarkson;Matthew A. Kupinski

  • A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using variable-background phantoms.

    Subok Park;Robert Jennings;Haimo Liu;Aldo Badano

  • Objective assessment of image quality. IV. Application to adaptive optics.

    Harrison H. Barrett;Kyle J. Myers;Nicholas Devaney;Christopher Dainty

  • Megalopinakophobia: its symptoms and cures

    Harrison H. Barrett;Kyle J. Myers;Brandon D. Gallas;Eric Clarkson

  • Signal detectability in digital radiography: spatial domain figures of merit.

    Robert M. Gagne;Jonathan S. Boswell;Kyle J. Myers

  • Toward objective and quantitative evaluation of imaging systems using images of phantoms

    Robert M. Gagne;Brandon D. Gallas;Kyle J. Myers

  • Foundations of Image Science

    Harrison H. Barrett;Kyle J. Myers;Sreeram Dhurjaty

  • Information Processing in Medical Imaging

    Jerry L. Prince;Dzung L. Pham;Kyle J. Myers

Frequent Co-Authors

Harrison H. Barrett
Harrison H. Barrett University of Arizona
Nicholas Petrick
Nicholas Petrick US Food and Drug Administration
Berkman Sahiner
Berkman Sahiner United States Food and Drug Administration
Charles E. Metz
Charles E. Metz University of Chicago
Craig K. Abbey
Craig K. Abbey University of California, Santa Barbara
Miguel P. Eckstein
Miguel P. Eckstein University of California, Santa Barbara
Jerry L. Prince
Jerry L. Prince Johns Hopkins University
Jannick P. Rolland
Jannick P. Rolland University of Rochester
Dzung L. Pham
Dzung L. Pham Henry M. Jackson Foundation
Maryellen L. Giger
Maryellen L. Giger University of Chicago

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