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Medicine

D-Index
87
Citations
35168
World Ranking
13476
National Ranking
6852

Overview

Heber MacMahon is affiliated with the University of Chicago in the United States. Their research primarily focuses on medicine, with significant contributions in the fields of pulmonary and respiratory medicine, radiology, nuclear medicine and imaging, otorhinolaryngology, and oncology.

The scientist has concentrated on topics including lung cancer diagnosis and treatment, radiomics and machine learning in medical imaging, head and neck cancer studies, COVID-19 diagnosis using artificial intelligence, radiation dose and imaging, radiology practices and education, as well as pleural and pulmonary diseases.

Heber MacMahon has collaborated frequently with several coauthors, notably David P. Naidich, Charles S. White, Kwun M. Fong, Ella A. Kazerooni, and Peter J. Mazzone.

Their recent papers include:

  • "Fleischner Society: Glossary of Terms for Thoracic Imaging" (2024) published in Radiology
  • "Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic" (2020) published in CHEST Journal
  • "IASLC Lung Cancer Staging Project: The New Database to Inform Revisions in the Ninth Edition of the TNM Classification of Lung Cancer" (2023) published in Journal of Thoracic Oncology
  • "Managing Incidental Findings on Thoracic CT: Lung Findings. A White Paper of the ACR Incidental Findings Committee" (2021) published in Journal of the American College of Radiology
  • "Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic" (2020) published in Journal of the American College of Radiology

Heber MacMahon has published multiple articles in notable venues such as CHEST Journal, Journal of the American College of Radiology, Radiology, Journal of Thoracic Oncology, and Radiology Imaging Cancer. Their work spans diagnoses, treatment protocols, imaging standards, and clinical management related to thoracic diseases and oncology.

Best Publications

  • Fleischner Society: Glossary of Terms for Thoracic Imaging

    David M Hansell;Alexander A Bankier;Heber MacMahon;Theresa C McLoud

  • The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

    Samuel G. Armato;Geoffrey McLennan;Luc Bidaut;Michael F. McNitt-Gray

  • Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

    Heber MacMahon;David P. Naidich;Jin Mo Goo;Kyung Soo Lee

  • Guidelines for Management of Small Pulmonary Nodules Detected on CT Scans: A Statement from the Fleischner Society

    Heber MacMahon;John H. M. Austin;Gordon Gamsu;Christian J. Herold

  • Recommendations for the Management of Subsolid Pulmonary Nodules Detected at CT: A Statement from the Fleischner Society

    David P. Naidich;Alexander A. Bankier;Heber MacMahon;Cornelia M. Schaefer-Prokop

  • The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part-Solid Tumors in the Forthcoming Eighth Edition of the TNM Classification of Lung Cancer

    William D. Travis;Hisao Asamura;Alexander A. Bankier;Mary Beth Beasley

  • The American Association for Thoracic Surgery guidelines for lung cancer screening using low-dose computed tomography scans for lung cancer survivors and other high-risk groups

    Michael T. Jaklitsch;Francine L. Jacobson;John H.M. Austin;John K. Field

  • Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography

    Heang Ping Chan;Kunio Doi;Simranjit Galhotra;Carl J. Vyborny

  • Computerized Detection of Pulmonary Nodules on CT Scans

    Samuel G. Armato;Maryellen L. Giger;Catherine J. Moran;James T. Blackburn

  • Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis.

    H P Chan;K Doi;C J Vyborny;R A Schmidt

  • Lung image database consortium: developing a resource for the medical imaging research community.

    Samuel G. Armato;Geoffrey McLennan;Michael F. McNitt-Gray;Charles R. Meyer

  • Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields.

    Maryellen Lissak Giger;Kunio Doi;Heber MacMahon

  • Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings

    Feng Li;Shusuke Sone;Hiroyuki Abe;Heber Macmahon

  • Computer-aided diagnosis in radiology: potential and pitfalls

    Kunio Doi;Heber MacMahon;Shigehiko Katsuragawa;Robert M Nishikawa

  • Automated detection of lung nodules in CT scans: Preliminary results

    Samuel G. Armato;Maryellen L. Giger;Heber MacMahon

  • Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program

    Samuel G. Armato;Feng Li;Maryellen L. Giger;Heber MacMahon

  • Computerized Detection of Pulmonary Nodules in Computed Tomography Images

    Maryellen L. Giger;Kyongtae T. Bae;Heber MacMAHON

  • Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

    T Kobayashi;X W Xu;H MacMahon;C E Metz

  • Digital image subtraction of temporally sequential chest images for detection of interval change

    Akiko Kano;Kunio Doi;Heber MacMahon;Dayne D. Hassell

  • Endothelial-Cell Sarcoma of Liver Following Thorotrast Injections.

    Macmahon He;Murphy As;Bates Mi

Frequent Co-Authors

Kunio Doi
Kunio Doi University of Chicago
Maryellen L. Giger
Maryellen L. Giger University of Chicago
Ella A. Kazerooni
Ella A. Kazerooni University of Michigan–Ann Arbor
Qiang Li
Qiang Li Brookhaven National Laboratory
Charles E. Metz
Charles E. Metz University of Chicago
David P. Naidich
David P. Naidich New York University
Kenji Suzuki
Kenji Suzuki Tokyo Institute of Technology
David F. Yankelevitz
David F. Yankelevitz Icahn School of Medicine at Mount Sinai
Hedy L. Kindler
Hedy L. Kindler University of Chicago
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh

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