Retrospective Motion Correction

Retrospective Motion Correction is a computational method in neuroimaging that belongs to the class of motion correction techniques and is distinguished by its application of motion artifact reduction after data acquisition, typically through post-processing algorithms that realign or reconstruct corrupted image data based on estimated motion parameters.

186

Publications

13.2K

Citations

896

Authors

342

Institutions

Publications per year

2017–2026

73

Authors

896

  1. AV
    André van der Kouwe

    Athinoula A. Martinos Center for Biomedical Imaging, United States

    7 publications · 778 citations

    7

    h-index

  2. RL
    Richard L. Ehman

    Mayo Clinic, United States

    6 publications · 305 citations

    6

    h-index

  3. SC
    Stephen Cauley

    Athinoula A. Martinos Center for Biomedical Imaging, United States

    5 publications · 266 citations

    5

    h-index

  4. RB
    Roland Bammer

    Stanford University, United States

    5 publications · 507 citations

    5

    h-index

  5. DG
    Daniel Gallichan

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 265 citations

    5

    h-index

1–5 of 896

Venues

  1. Magnetic Resonance in Medicine

    MRM · 73 publications · 7.7K citations

    39

    h-index

  2. NeuroImage

    15 publications · 909 citations

    15

    h-index

  3. IEEE Transactions on Medical Imaging

    9 publications · 580 citations

    9

    h-index

  4. Medical Physics

    7 publications · 197 citations

    7

    h-index

  5. Radiology

    6 publications · 243 citations

    6

    h-index

1–5