Surface-to-surface Matching

Surface-to-Surface Matching is a computational method in medical image analysis and surgical planning that aligns two three-dimensional anatomical surfaces by minimizing geometric discrepancies through iterative optimization, distinguished by its reliance on topological and morphological correspondence rather than voxel- or point-based registration alone.

32

Publications

1.6K

Citations

117

Authors

54

Institutions

Publications per year

2017–2026

14

Authors

117

  1. RL
    Rosalia Leonardi

    University of Catania, Italy

    6 publications · 264 citations

    6

    h-index

  2. AL
    Antonino Lo Giudice

    University of Catania, Italy

    4 publications · 216 citations

    4

    h-index

  3. SM
    Simone Muraglie

    University of Catania, Italy

    3 publications · 87 citations

    3

    h-index

  4. VR
    Vincenzo Ronsivalle

    University of Catania, Italy

    3 publications · 177 citations

    3

    h-index

  5. KA
    Khaled Aboulazm

    Pharos University in Alexandria, Egypt

    3 publications · 104 citations

    3

    h-index

1–5 of 117

Venues

  1. The Angle Orthodontist

    3 publications · 133 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 39 citations

    2

    h-index

  3. Clinical Oral Investigations

    2 publications · 96 citations

    2

    h-index

  4. 2

    h-index

  5. Infrared Physics & Technology

    1 publications · 11 citations

    1

    h-index

1–5