Deformable Models

Deformable Models is a computational framework in the field of shape deformation and volume segmentation that characterizes a deformable object as a parametric or implicit surface guided by energy minimization principles to adapt its geometry in response to external constraints or image-derived cues.

3K

Publications

206.2K

Citations

7K

Authors

1.8K

Institutions

Publications per year

2017–2026

528

Authors

7K

  1. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    31 publications · 2.1K citations

    23

    h-index

  2. AE
    Ayman El‐Baz

    University of Louisville, United States

    27 publications · 864 citations

    22

    h-index

  3. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    29 publications · 1.5K citations

    21

    h-index

  4. DL
    Doug L. James

    Cornell University, United States

    26 publications · 2.7K citations

    21

    h-index

  5. DT
    Demetri Terzopoulos

    University of Toronto, Canada

    21 publications · 7.2K citations

    21

    h-index

1–5 of 7K

Venues

  1. ACM Transactions on Graphics

    TOG · 105 publications · 12.8K citations

    65

    h-index

  2. IEEE Transactions on Medical Imaging

    81 publications · 9.3K citations

    53

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 81 publications · 10.7K citations

    46

    h-index

  4. Computer Graphics Forum

    87 publications · 6.1K citations

    39

    h-index

  5. Medical Physics

    50 publications · 3K citations

    31

    h-index

1–5