Concepedia

Sinus Landmark Segmentation

Sinus Landmark Segmentation is a computational method in medical image analysis that identifies and delineates specific anatomical reference points within the paranasal sinuses by combining morphological modeling with spatially constrained landmark detection to enable precise localization of sinus structures in three-dimensional imaging data.

23

Publications

789

Citations

133

Authors

66

Institutions

Publications per year

2017–2026

13

Parents

Publications

23

CT-based manual segmentation and evaluation of paranasal sinuses

S. Pirner, Kathrin Tingelhoff, Ingo Wagner et al. · European Archives of Oto-Rhino-Laryngology · 2008 · 107 citations

, , +14

Volumetric assessment of sphenoid sinuses through segmentation on CT scan

Daniele Gibelli, Michaela Cellina, Stefano Gibelli et al. · Surgical and Radiologic Anatomy · 2017 · 67 citations

, , +14

Bone enhancement filtering: Application to sinus bone segmentation and simulation of pituitary surgery

Maxime Descoteaux, Michel Audette, Kiyoyuki Chinzei et al. · Computer Aided Surgery · 2006 · 61 citations

, , +16

Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net

Jiangchang Xu, Shiming Wang, Zijie Zhou et al. · International Journal of Computer Assisted Radiology and Surgery · 2020 · 56 citations

, , +16

Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network

Kuo Feng Hung, Qi Yong H. Ai, Ann D. King et al. · Clinical Oral Investigations · 2022 · 56 citations

, , +17

1–5 of 23

Authors

133

  1. MD
    Maxime Descoteaux

    Université de Sherbrooke, Canada

    3 publications · 100 citations

    3

    h-index

  2. MA
    Michel Audette

    Old Dominion University, United States

    3 publications · 100 citations

    3

    h-index

  3. KC
    Kiyoyuki Chinzei

    National Institute of Advanced Industrial Science and Technology, Japan

    3 publications · 100 citations

    3

    h-index

  4. KS
    Kaleem Siddiqi

    McGill University, Canada

    3 publications · 100 citations

    3

    h-index

  5. AG
    Antonio Giancarlo Oliva

    University of Milan, Italy

    2 publications · 117 citations

    2

    h-index

1–5 of 133

Institutions

66

  1. McGill University

    Montreal, Canada

    3 h-index

    3 publications

    100 citations

  2. Institut national de recherche en sciences et technologies du numérique

    Le Chesnay-Rocquencourt, France

    3 h-index

    3 publications

    100 citations

  3. National Institute of Advanced Industrial Science and Technology

    Tsukuba, Japan

    3 h-index

    4 publications

    122 citations

  4. Inserm

    Paris, France

    2 h-index

    3 publications

    74 citations

  5. ASST Fatebenefratelli Sacco

    Milan, Italy

    2 h-index

    8 publications

    468 citations

  6. University of Milan

    Milan, Italy

    2 h-index

    7 publications

    384 citations

  7. National University of Singapore

    Singapore, Singapore

    2 h-index

    5 publications

    182 citations

  8. IRCCS Policlinico San Donato

    San Donato Milanese, Italy

    1 h-index

    1 publications

    67 citations

1–8 of 66

Venues

  1. 3

    h-index

  2. Computer Aided Surgery

    CAS · 2 publications · 78 citations

    2

    h-index

  3. International Journal of Legal Medicine

    2 publications · 70 citations

    2

    h-index

  4. Dentomaxillofacial Radiology

    DMFR · 1 publications · 33 citations

    1

    h-index

  5. European Archives of Oto-Rhino-Laryngology

    1 publications · 107 citations

    1

    h-index

1–5