Statistical Reconstruction

Statistical Reconstruction is a computational imaging method that belongs to the class of image reconstruction techniques and is distinguished by its use of probabilistic models to estimate the most likely image given measured data and a statistical description of noise and system physics.

254

Publications

22.1K

Citations

975

Authors

429

Institutions

Publications per year

2017–2026

41

Authors

975

  1. JA
    Jeffrey A. Fessler

    University of Michigan, United States

    21 publications · 2.7K citations

    14

    h-index

  2. FJ
    Freek J. Beekman

    University Medical Center Utrecht, Netherlands

    14 publications · 1.2K citations

    13

    h-index

  3. JW
    J. Webster Stayman

    Johns Hopkins University, United States

    7 publications · 193 citations

    7

    h-index

  4. JR
    John R. Skalski

    University of Washington, United States

    7 publications · 201 citations

    7

    h-index

  5. PE
    Paul E. Kinahan

    University of Washington, United States

    7 publications · 403 citations

    7

    h-index

1–5 of 975

Venues

  1. Physics in Medicine and Biology

    27 publications · 1.7K citations

    21

    h-index

  2. IEEE Transactions on Medical Imaging

    16 publications · 1.7K citations

    15

    h-index

  3. Medical Physics

    14 publications · 1.5K citations

    14

    h-index

  4. 10

    h-index

  5. IEEE Transactions on Nuclear Science

    7 publications · 387 citations

    7

    h-index

1–5