High-resolution Computed Tomography Patterns

High-Resolution Computed Tomography Patterns is a radiological characterization framework that distinguishes specific morphological and distributive features of lung parenchymal abnormalities through detailed cross-sectional imaging acquired with thin-slice computed tomography techniques optimized for spatial resolution.

245

Publications

14.6K

Citations

1.3K

Authors

418

Institutions

Publications per year

2017–2026

32

Authors

1.3K

  1. NL
    Néstor L. Müller

    University of British Columbia, Canada

    19 publications · 1.5K citations

    19

    h-index

  2. TJ
    Takeshi Johkoh

    The University of Osaka, Japan

    11 publications · 781 citations

    10

    h-index

  3. EM
    Edson Marchiori

    Universidade Federal do Rio de Janeiro, Brazil

    10 publications · 419 citations

    10

    h-index

  4. MA
    Masanori Akira

    NHO Kinki Chuo Chest Medical Center, Japan

    9 publications · 1.1K citations

    9

    h-index

  5. KI
    Kazuya Ichikado

    Saiseikai Kumamoto Hospital, Japan

    7 publications · 475 citations

    7

    h-index

1–5 of 1.3K

Venues

  1. American Journal of Roentgenology

    AJR · 43 publications · 3.3K citations

    35

    h-index

  2. Journal of Computer Assisted Tomography

    JCAT · 18 publications · 1K citations

    16

    h-index

  3. PubMed

    Repository · 14 publications · 415 citations

    13

    h-index

  4. CHEST Journal

    12 publications · 853 citations

    12

    h-index

  5. Journal of Thoracic Imaging

    JTI · 12 publications · 708 citations

    11

    h-index

1–5