Needle Insertion Planning

Needle Insertion Planning is a computational framework in image-guided robotics that determines the optimal geometric trajectory and procedural strategy for percutaneous needle deployment to a target site while avoiding critical anatomical structures.

357

Publications

14.4K

Citations

1.4K

Authors

538

Institutions

Publications per year

2017–2026

105

Authors

1.4K

  1. RA
    Ron Alterovitz

    University of North Carolina at Chapel Hill, United States

    18 publications · 1.7K citations

    18

    h-index

  2. KG
    Ken Goldberg

    University of California, Berkeley, United States

    15 publications · 1.5K citations

    15

    h-index

  3. FR
    Ferdinando Rodriguez y Baena

    Imperial College London, United Kingdom

    9 publications · 266 citations

    9

    h-index

  4. II
    Iulian Iordachita

    Johns Hopkins University, United States

    8 publications · 270 citations

    8

    h-index

  5. GF
    Gábor Fichtinger

    Queen's University, Canada

    7 publications · 404 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. 14

    h-index

  2. Anesthesia & Analgesia

    12 publications · 446 citations

    12

    h-index

  3. Computer Aided Surgery

    CAS · 11 publications · 469 citations

    11

    h-index

  4. IEEE Transactions on Biomedical Engineering

    9 publications · 589 citations

    9

    h-index

  5. Medical Physics

    9 publications · 519 citations

    9

    h-index

1–5