Elastography Signal Processing

Elastography Signal Processing is a methodological framework within biomedical signal analysis that specifically involves the computational enhancement, filtering, and interpretation of raw mechanical response signals to quantitatively estimate tissue elasticity properties in the context of elastographic imaging.

255

Publications

13.8K

Citations

892

Authors

308

Institutions

Publications per year

2017–2026

53

Authors

892

  1. JO
    J. Ophir

    The University of Texas at Austin, United States

    40 publications · 3.5K citations

    30

    h-index

  2. TV
    Tomy Varghese

    University of Wisconsin–Madison, United States

    28 publications · 1.9K citations

    22

    h-index

  3. EE
    Elisa E. Konofagou

    Columbia University, United States

    15 publications · 1.1K citations

    14

    h-index

  4. IS
    Ingolf Sack

    Charité - Universitätsmedizin Berlin, Germany

    14 publications · 489 citations

    12

    h-index

  5. JB
    Jürgen Braun

    Charité - Universitätsmedizin Berlin, Germany

    12 publications · 465 citations

    11

    h-index

1–5 of 892

Venues

  1. Ultrasound in Medicine & Biology

    53 publications · 3.3K citations

    34

    h-index

  2. 17

    h-index

  3. Ultrasonic Imaging

    19 publications · 1.4K citations

    16

    h-index

  4. Physics in Medicine and Biology

    14 publications · 512 citations

    14

    h-index

  5. Ultrasonics

    11 publications · 300 citations

    11

    h-index

1–5