Morphology-based radiological-histological correlation on ultra-high-resolution energy-integrating detector CT using cadaveric human lungs: nodule and airway analysis - Top-Institutions - MDSpire

Morphology-based radiological-histological correlation on ultra-high-resolution energy-integrating detector CT using cadaveric human lungs: nodule and airway analysis

  • By

  • Akinori Hata

  • Masahiro Yanagawa

  • Keisuke Ninomiya

  • Noriko Kikuchi

  • Masako Kurashige

  • Daiki Nishigaki

  • Shuhei Doi

  • Kazuki Yamagata

  • Yuriko Yoshida

  • Ryo Ogawa

  • Yukiko Tokuda

  • Eiichi Morii

  • Noriyuki Tomiyama

  • June 26, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Thoracic Radiology
    • Pulmonary Medicine
    • Biomedical Imaging Research

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Pulmonology
    • Medical Imaging Technology

  • #3

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Pulmonary Medicine
    • Biomedical Engineering

  • #4

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Thoracic Radiology
    • Pulmonary and Critical Care Medicine
    • Imaging Science

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Pulmonary Medicine

Original Source(s)

Morphology-based radiological-histological correlation on ultra-high-resolution energy-integrating detector CT using cadaveric human lungs: nodule and airway analysis

  • by Akinori Hata, Masahiro Yanagawa, Keisuke Ninomiya, Noriko Kikuchi, Masako Kurashige, Daiki Nishigaki, Shuhei Doi, Kazuki Yamagata, Yuriko Yoshida, Ryo Ogawa, Yukiko Tokuda, Eiichi Morii, Noriyuki Tomiyama

  • June 26, 2025

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