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D-Index
79
Citations
24340
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17501
National Ranking
8761

Overview

Daniel B. Kopans is a researcher affiliated with Harvard University in the United States, specializing in Medicine with a focus on Oncology. Over their career, they have contributed to multiple fields of study including Cancer Research, Pulmonary and Respiratory Medicine, Artificial Intelligence, and Epidemiology.

Their research topics predominantly cover Global Cancer Incidence and Screening, Colorectal Cancer Screening and Detection, Breast Cancer Treatment Studies, Digital Radiography and Breast Imaging, Cancer Risks and Factors, AI in cancer detection, and Cervical Cancer and HPV Research.

Frequently publishing in venues such as Clinical Imaging, Journal of Medical Screening, and Breast Cancer Research and Treatment, Kopans has authored papers that address various aspects of breast cancer screening and related topics.

  • The randomized trial of mammography screening that was not-A cautionary tale, 2021, Journal of Medical Screening
  • Misinformation and Facts about Breast Cancer Screening, 2022, Current Oncology
  • Recommendations for breast cancer screening, 2020, The Lancet Oncology
  • Breast cancer outcomes based on method of detection in community-based breast cancer registry, 2023, Breast Cancer Research and Treatment
  • Major failings of trial procedures and quality of screening fatally compromise the results of the Canadian National Breast Screening Studies, 2021, Journal of Medical Screening

Collaborations with frequent co-authors include Martin J. Yaffe, Jean M. Seely, Paula B. Gordon, Shushiela Appavoo, and Debbie L. Bennett. These partnerships have contributed to multi-author studies on breast cancer screening and diagnostic practices.

Best Publications

  • Current Status of the Digital Database for Screening Mammography

    Michael D. Heath;Kevin W. Bowyer;Daniel B. Kopans;W. Philip Kegelmeyer

  • Digital tomosynthesis in breast imaging.

    L T Niklason;B T Christian;L E Niklason;D B Kopans

  • Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer

    Carol H. Lee;D. David Dershaw;Daniel Kopans;Phil Evans

  • THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY

    M. Heath;K. Bowyer;D. Kopans;R. Moore

  • Potential contribution of computer-aided detection to the sensitivity of screening mammography.

    Linda J. Warren Burhenne;Susan A. Wood;Carl J. D'Orsi;Stephen A. Feig

  • The positive predictive value of mammography

    D B Kopans

  • Tomographic mammography using a limited number of low-dose cone-beam projection images

    Tao Wu;Alexander Stewart;Martin Stanton;Thomas McCauley

  • Prospective Comparison of Mammography, Sonography, and MRI in Patients Undergoing Neoadjuvant Chemotherapy for Palpable Breast Cancer

    Eren Yeh;Priscilla Slanetz;Daniel B Kopans;Elizabeth Rafferty

  • A comparison of reconstruction algorithms for breast tomosynthesis.

    Tao Wu;Richard H. Moore;Elizabeth A. Rafferty;Daniel B. Kopans

  • Imaging of the radiographically dense breast.

    V P Jackson;R E Hendrick;S A Feig;D B Kopans

  • Spring hookwire breast lesion localizer: use with rigid-compression mammographic systems.

    D. B. Kopans;Karen K Lindfors;K. A. McCarthy;J. E. Meyer

  • Predicting the survival of patients with breast carcinoma using tumor size.

    James S. Michaelson;Melvin Silverstein;John Wyatt;Griffin Weber

  • Benign and malignant breast lesions: differentiation with echo-planar MR imaging

    C. A. Hulka;B. L. Smith;D. C. Sgroi;Lujian Tan

  • Tomographic optical breast imaging guided by three-dimensional mammography

    Ang Li;Eric L. Miller;Misha E. Kilmer;Thomas J. Brukilacchio

  • Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging

    Debra L. Monticciolo;Mary S. Newell;R. Edward Hendrick;Mark A. Helvie

  • Digital Breast Tomosynthesis: State of the Art.

    Srinivasan Vedantham;Andrew Karellas;Gopal R. Vijayaraghavan;Daniel B. Kopans

  • Image processing algorithms for digital mammography: a pictorial essay.

    E D Pisano;E B Cole;B M Hemminger;M J Yaffe

  • Combined optical and X-ray tomosynthesis breast imaging.

    Qianqian Fang;Juliette Selb;Stefan A. Carp;Gregory Boverman

  • Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms.

    Emil Y. Sidky;Xiaochuan Pan;Ingrid S. Reiser;Robert M. Nishikawa

  • Potential Contribution of Computer-aided Detection to the Sensitivity of Screening

    Linda J. Warren Burhenne;Susan A. Wood;Stephen A. Feig;Daniel B. Kopans

Frequent Co-Authors

Elkan F. Halpern
Elkan F. Halpern Harvard University
David A. Boas
David A. Boas Boston University
Edward A. Sickles
Edward A. Sickles University of California, San Francisco
Richard D. Moore
Richard D. Moore Johns Hopkins University
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Barbara L. Smith
Barbara L. Smith Harvard University
Blake Cady
Blake Cady Harvard University
Maryellen L. Giger
Maryellen L. Giger University of Chicago
Eric L. Miller
Eric L. Miller Tufts University
Lubomir M. Hadjiiski
Lubomir M. Hadjiiski University of Michigan–Ann Arbor

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