Quantitative Spine Imaging

Quantitative Spine Imaging is a specialized methodology within medical imaging that employs objective, measurable, and reproducible numerical data derived from spinal structures to characterize morphology, composition, or function, thereby distinguishing it from qualitative or descriptive spinal image analysis.

33

Publications

1.3K

Citations

277

Authors

162

Institutions

Publications per year

2017–2026

11

Authors

277

  1. HK
    Harry K. Genant

    University of California, San Francisco, United States

    3 publications · 221 citations

    3

    h-index

  2. TF
    Thomas Fuerst

    University of California, San Francisco, United States

    3 publications · 263 citations

    3

    h-index

  3. TB
    Thomas Baum

    Technical University of Munich, Germany

    2 publications · 80 citations

    2

    h-index

  4. QF
    Qianjin Feng

    Southern Medical University, China

    2 publications · 64 citations

    2

    h-index

  5. DC
    Dimitrios C. Karampinos

    Technical University of Munich, Germany

    2 publications · 48 citations

    2

    h-index

1–5 of 277

Venues

  1. Bone

    2 publications · 88 citations

    2

    h-index

  2. Magnetic Resonance in Medicine

    MRM · 2 publications · 48 citations

    2

    h-index

  3. Magnetic Resonance Imaging

    2 publications · 47 citations

    2

    h-index

  4. Journal of Clinical Densitometry

    2 publications · 26 citations

    2

    h-index

  5. European Radiology

    2 publications · 42 citations

    2

    h-index

1–5