Concepedia

Image-guided Landmark Recognition

Image-Guided Landmark Recognition is a computational method in medical image analysis that identifies anatomical landmarks by leveraging spatial and contextual information derived from multimodal imaging data to guide and constrain localization accuracy.

8

Publications

370

Citations

42

Authors

16

Institutions

Publications per year

2017–2026

2

Parents

Publications

8

A New Multimodality Technique Accurately Maps the Primary Lymphatic Landing Sites of the Bladder

Beat Roth, Michael Wissmeyer, Pascal Zehnder et al. · European Urology · 2009 · 172 citations

, , +14

Landmark Detection in Cardiac MRI by Using a Convolutional Neural Network

Hui Xue, Jessica Artico, Marianna Fontana et al. · Radiology Artificial Intelligence · 2021 · 55 citations · Full text

, , +17

In-pipe robot navigation based on the landmark recognition system using shadow images

Se-gon Roh, Dowan Kim, Hyungpil Moon et al. · 2009 · 46 citations

, , +17

Autonomous MAV guidance with a lightweight omnidirectional vision sensor

Richard J. D. Moore, Karthik Dantu, Geoffrey L. Barrows et al. · 2014 · 29 citations

, , +17

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Yiqiang Zhan, Dinggang Shen · IEEE Transactions on Medical Imaging · 2014 · 19 citations · Full text

, , +15

1–5 of 8

Authors

42

  1. TY
    T. Yoshikawa

    Kyoto University, Japan

    1 publications · 12 citations

    1

    h-index

  2. MY
    Michelle Yeghyayan

    University of Virginia, United States

    1 publications · 19 citations

    1

    h-index

  3. GN
    George N. Thalmann

    University of Bern, Switzerland

    1 publications · 172 citations

    1

    h-index

  4. MW
    Michael Wissmeyer

    University Hospital of Geneva, Switzerland

    1 publications · 172 citations

    1

    h-index

  5. KD
    Karthik Dantu

    University at Buffalo, State University of New York, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 42

Institutions

16

  1. Centeye (United States)

    Washington D.C., United States

    1 h-index

    1 publications

    29 citations

  2. University of Virginia

    Charlottesville, United States

    1 h-index

    8 publications

    152 citations

  3. Hiroshima City University

    Hiroshima, Japan

    1 h-index

    1 publications

    12 citations

  4. Sungkyunkwan University

    Seoul, South Korea

    1 h-index

    4 publications

    184 citations

  5. Hospital of the University of Pennsylvania

    Philadelphia, United States

    1 h-index

    1 publications

    18 citations

  6. University at Buffalo, State University of New York

    Buffalo, United States

    1 h-index

    1 publications

    29 citations

  7. Siemens (Germany)

    Munich, Germany

    1 h-index

    1 publications

    19 citations

  8. Imaging Center

    Fort Wayne, United States

    1 h-index

    1 publications

    19 citations

1–8 of 16

Venues

  1. Advances in intelligent systems and computing

    Book series · 1 publications · 19 citations

    1

    h-index

  2. IEEE Transactions on Medical Imaging

    1 publications · 19 citations

    1

    h-index

  3. Radiology Artificial Intelligence

    AI · 1 publications · 55 citations

    1

    h-index

  4. European Urology

    1 publications · 172 citations

    1

    h-index

  5. Investigative Radiology

    1 publications · 18 citations

    1

    h-index

1–5