Dynamic Image Reconstruction

Dynamic Image Reconstruction is a computational imaging methodology that distinguishes itself by reconstructing temporally varying structures or processes from sequential or time-resolved measurements, enabling the visualization of non-static phenomena through the integration of temporal dynamics into the reconstruction model.

184

Publications

9.4K

Citations

683

Authors

273

Institutions

Publications per year

2017–2026

56

Authors

683

  1. JQ
    Jinyi Qi

    University of California, Davis, United States

    6 publications · 603 citations

    6

    h-index

  2. MN
    Miles N. Wernick

    Illinois Institute of Technology, United States

    6 publications · 147 citations

    6

    h-index

  3. GW
    Guobao Wang

    University of California, Davis, United States

    6 publications · 473 citations

    6

    h-index

  4. AĆ
    A. Ćeller

    University of British Columbia, Canada

    5 publications · 174 citations

    5

    h-index

  5. LY
    Leslie Ying

    University at Buffalo, State University of New York, United States

    5 publications · 224 citations

    5

    h-index

1–5 of 683

Venues

  1. Magnetic Resonance in Medicine

    MRM · 19 publications · 1.1K citations

    16

    h-index

  2. IEEE Transactions on Medical Imaging

    16 publications · 968 citations

    15

    h-index

  3. Physics in Medicine and Biology

    8 publications · 441 citations

    8

    h-index

  4. Medical Physics

    8 publications · 227 citations

    8

    h-index

  5. IEEE Transactions on Nuclear Science

    6 publications · 217 citations

    6

    h-index

1–5