Concepedia

Artificial Intelligence-based Landmark Detection

Artificial Intelligence-Based Landmark Detection is a computational method in cephalometric imaging that employs artificial intelligence algorithms to automatically identify and localize anatomical landmarks in craniofacial images, distinguishing itself from traditional manual or semi-automated techniques through data-driven, model-based learning and inference.

110

Publications

5.7K

Citations

476

Authors

214

Institutions

Publications per year

2017–2026

72

Parents

Publications

110

Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild

Tadas Baltrušaitis, Peter Robinson, Louis‐Philippe Morency · 2013 · 410 citations

, , +13

Fully automated quantitative cephalometry using convolutional neural networks

Sercan Ö. Arık, Bulat Ibragimov, Lei Xing · Journal of Medical Imaging · 2017 · 298 citations · Full text

, , +17

Automated identification of cephalometric landmarks: Part 1—Comparisons between the latest deep-learning methods YOLOV3 and SSD

Jihoon Park, Hyewon Hwang, Jun‐Ho Moon et al. · The Angle Orthodontist · 2019 · 226 citations · Full text

, , +17

Automated Identification of Cephalometric Landmarks: Part 2-Might It Be Better Than human?

Hyewon Hwang, Jihoon Park, Jun‐Ho Moon et al. · The Angle Orthodontist · 2019 · 222 citations · Full text

, , +17

Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection

Amir Zadeh, Yao Chong Lim, Tadas Baltrušaitis et al. · 2017 · 211 citations

, , +16

1–5 of 110

Authors

476

  1. IK
    In-Hwan Kim

    Asan Medical Center, South Korea

    5 publications · 155 citations

    5

    h-index

  2. NK
    Namkug Kim

    University of Ulsan, South Korea

    5 publications · 155 citations

    5

    h-index

  3. HH
    Hyewon Hwang

    Seoul National University, South Korea

    4 publications · 609 citations

    4

    h-index

  4. RE
    Richard E. Donatelli

    University of Florida, United States

    4 publications · 609 citations

    4

    h-index

  5. LM
    Louis‐Philippe Morency

    Carnegie Mellon University, United States

    4 publications · 644 citations

    4

    h-index

1–5 of 476

Institutions

214

  1. Seoul National University Dental Hospital

    Seoul, South Korea

    6 h-index

    11 publications

    1.3K citations

  2. University of Ulsan

    Ulsan, South Korea

    5 h-index

    24 publications

    796 citations

  3. Ulsan College

    Ulsan, South Korea

    5 h-index

    20 publications

    661 citations

  4. Asan Medical Center

    Seoul, South Korea

    5 h-index

    23 publications

    727 citations

  5. Ajou University

    Suwon, South Korea

    4 h-index

    7 publications

    257 citations

  6. Chosun University

    Gwangju, South Korea

    4 h-index

    4 publications

    136 citations

  7. Methodist Hospital

    Sacramento, United States

    4 h-index

    19 publications

    900 citations

  8. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    4 h-index

    14 publications

    464 citations

1–8 of 214

Venues

  1. IEEE Transactions on Medical Imaging

    4 publications · 388 citations

    4

    h-index

  2. Orthodontics and Craniofacial Research

    4 publications · 205 citations

    4

    h-index

  3. The Angle Orthodontist

    4 publications · 609 citations

    4

    h-index

  4. Neurocomputing

    4 publications · 130 citations

    4

    h-index

  5. IEEE Access

    4 publications · 106 citations

    4

    h-index

1–5