Image Processing In Angiography

Image Processing in Angiography is a computational methodology that enhances, analyzes, and interprets angiographic image sequences to extract clinically relevant vascular dynamics and structural features, specifically within the context of Indocyanine Green Angiography.

196

Publications

8K

Citations

749

Authors

268

Institutions

Publications per year

2017–2026

39

Authors

749

  1. JH
    Johan H. C. Reiber

    Leiden University Medical Center, Netherlands

    4 publications · 141 citations

    4

    h-index

  2. JY
    Jian Yang

    Beijing Institute of Technology, China

    4 publications · 125 citations

    4

    h-index

  3. NK
    Nadia K. Waheed

    Tufts Medical Center, United States

    4 publications · 1.2K citations

    4

    h-index

  4. WE
    William E. Higgins

    Pennsylvania State University, United States

    3 publications · 92 citations

    3

    h-index

  5. HS
    Hong Song

    Beijing Institute of Technology, China

    3 publications · 111 citations

    3

    h-index

1–5 of 749

Venues

  1. IEEE Transactions on Medical Imaging

    20 publications · 1.4K citations

    18

    h-index

  2. 12

    h-index

  3. Radiology

    7 publications · 395 citations

    7

    h-index

  4. Magnetic Resonance in Medicine

    MRM · 6 publications · 167 citations

    6

    h-index

  5. Biomedical Optics Express

    BOE · 5 publications · 164 citations

    5

    h-index

1–5