Delineation Uncertainty Quantification

Delineation Uncertainty Quantification is a methodological framework in medical image analysis that characterizes the spatial ambiguity inherent in target volume delineation by modeling the variability of boundaries arising from inter- and intra-observer variability, imaging limitations, and algorithmic uncertainties.

45

Publications

2.3K

Citations

288

Authors

137

Institutions

Publications per year

2017–2026

20

Authors

288

  1. PP
    Primož Petrič

    Institute of Oncology Ljubljana, Slovenia

    3 publications · 257 citations

    3

    h-index

  2. RH
    Robert Hudej

    Institute of Oncology Ljubljana, Slovenia

    2 publications · 117 citations

    2

    h-index

  3. LH
    Lois Holloway

    Ingham Institute, Australia

    2 publications · 29 citations

    2

    h-index

  4. BŠ
    Barbara Šegedin

    Institute of Oncology Ljubljana, Slovenia

    2 publications · 163 citations

    2

    h-index

  5. CB
    Carsten Brink

    Odense University Hospital, Denmark

    2 publications · 28 citations

    2

    h-index

1–5 of 288

Venues

  1. Physics in Medicine and Biology

    4 publications · 71 citations

    4

    h-index

  2. Radiotherapy and Oncology

    4 publications · 245 citations

    4

    h-index

  3. Computerized Medical Imaging and Graphics

    CMIG · 3 publications · 129 citations

    3

    h-index

  4. Medical Image Analysis

    3 publications · 138 citations

    3

    h-index

  5. Radiology and Oncology

    2 publications · 163 citations

    2

    h-index

1–5