Physiological Data Assimilation

Physiological Data Assimilation is a computational framework that integrates multi-scale physiological measurements with mechanistic models through Bayesian inference to optimally estimate and refine individualized physiological states and parameters.

9

Publications

467

Citations

27

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

27

  1. DJ
    David J. Albers

    Columbia University, United States

    3 publications · 166 citations

    3

    h-index

  2. BJ
    Bruce J. Gluckman

    Pennsylvania State University, United States

    3 publications · 166 citations

    3

    h-index

  3. LM
    Lena Mamykina

    Columbia University, United States

    2 publications · 152 citations

    2

    h-index

  4. ML
    Michael L.J. Apuzzo

    University of Southern California, United States

    2 publications · 47 citations

    2

    h-index

  5. CY
    Charles Y. Liu

    University of Southern California, United States

    2 publications · 47 citations

    2

    h-index

1–5 of 27

Venues

  1. Neurosurgery

    2 publications · 47 citations

    2

    h-index

  2. Medical Image Analysis

    1 publications · 148 citations

    1

    h-index

  3. Technology and Culture

    1 publications · 69 citations

    1

    h-index

  4. AJP Advances in Physiology Education

    1 publications · 18 citations

    1

    h-index

  5. Transport Reviews

    1 publications · 19 citations

    1

    h-index

1–5