Resolution Modeling

Resolution Modeling is a spatial data modeling technique that characterizes the precision and granularity of medical image representation by defining the smallest discernible spatial structures through systematic analysis of imaging system point spread functions and sampling intervals.

120

Publications

7.7K

Citations

371

Authors

174

Institutions

Publications per year

2017–2026

18

Authors

371

  1. AJ
    Andrew J. Reader

    University of Manchester, United Kingdom

    8 publications · 558 citations

    8

    h-index

  2. AR
    Arman Rahmim

    Johns Hopkins University, United States

    8 publications · 295 citations

    8

    h-index

  3. EJ
    Edward J. Hoffman

    University of California, Los Angeles, United States

    7 publications · 2.4K citations

    7

    h-index

  4. ME
    Michael E. Phelps

    University of California, Los Angeles, United States

    5 publications · 2.2K citations

    5

    h-index

  5. JC
    Julian C. Matthews

    University of Manchester, United Kingdom

    5 publications · 195 citations

    5

    h-index

1–5 of 371

Venues

  1. Physics in Medicine and Biology

    12 publications · 1.2K citations

    12

    h-index

  2. Medical Physics

    8 publications · 374 citations

    8

    h-index

  3. Journal of Computer Assisted Tomography

    JCAT · 7 publications · 2.4K citations

    7

    h-index

  4. IEEE Transactions on Nuclear Science

    6 publications · 297 citations

    6

    h-index

  5. EJNMMI Physics

    3 publications · 141 citations

    3

    h-index

1–5