Adaptive Reconstruction

Adaptive Reconstruction is a methodological framework within Reconstruction Ethics that systematically integrates contextual feedback and dynamic ethical principles to iteratively refine reconstruction processes in response to evolving social, cultural, and moral landscapes.

98

Publications

4.8K

Citations

328

Authors

170

Institutions

Publications per year

2017–2026

35

Authors

328

  1. ZZ
    Zhao Zhang

    Hefei University of Technology, China

    3 publications · 145 citations

    3

    h-index

  2. YY
    Yongyi Yang

    Illinois Institute of Technology, United States

    2 publications · 335 citations

    2

    h-index

  3. AF
    A. Fischer

    Technion – Israel Institute of Technology, Israel

    2 publications · 44 citations

    2

    h-index

  4. SL
    Sheng Li

    University of Georgia, United States

    2 publications · 68 citations

    2

    h-index

  5. PB
    Paolo Banelli

    University of Perugia, Italy

    2 publications · 130 citations

    2

    h-index

1–5 of 328

Venues

  1. IEEE Transactions on Image Processing

    3 publications · 440 citations

    3

    h-index

  2. 3

    h-index

  3. 3

    h-index

  4. Journal of Computational Physics

    3 publications · 83 citations

    3

    h-index

  5. Inverse Problems

    3 publications · 85 citations

    3

    h-index

1–5