Multimodality Surveillance

Multimodality Surveillance is a surveillance framework that integrates data from multiple disparate modalities—such as imaging, biochemical markers, and clinical symptoms—to enhance the accuracy, sensitivity, and robustness of recurrence detection in clinical monitoring.

3

Publications

839

Citations

23

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

23

  1. AŁ
    Artur Łoza

    University of Bristol, United Kingdom

    1 publications · 44 citations

    1

    h-index

  2. AV
    Arduino Verdecchia

    Istituto Superiore di Sanità, Italy

    1 publications · 341 citations

    1

    h-index

  3. WL
    Wu Liu

    Jingdong (China), China

    1 publications · 454 citations

    1

    h-index

  4. FP
    Franca Podo

    Istituto Superiore di Sanità, Italy

    1 publications · 341 citations

    1

    h-index

  5. SM
    Siranoush Manoukian

    Fondazione IRCCS Istituto Nazionale dei Tumori, Italy

    1 publications · 341 citations

    1

    h-index

1–5 of 23

Venues

  1. IEEE Transactions on Multimedia

    1 publications · 454 citations

    1

    h-index

  2. Radiology

    1 publications · 341 citations

    1

    h-index

  3. Machine Vision and Applications

    1 publications · 44 citations

    1

    h-index

1–3