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An End-to-end Deep Learning Approach for Landmark Detection and Matching
  in Medical Images

An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images

21 January 2020
Monika Grewal
T. Deist
J. Wiersma
Peter A. N. Bosman
Tanja Alderliesten
    MedIm
ArXiv (abs)PDFHTML

Papers citing "An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images"

4 / 4 papers shown
A 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration
A 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration
Daniil Morozov
Reuben Dorent
Nazim Haouchine
155
0
0
24 Jul 2025
Coordinated Transformer with Position \& Sample-aware Central Loss for
  Anatomical Landmark Detection
Coordinated Transformer with Position \& Sample-aware Central Loss for Anatomical Landmark Detection
Qikui Zhu
Yihui Bi
Danxin Wang
Xiangpeng Chu
Jing Chen
Yanqing Wang
ViTMedIm
183
1
0
18 May 2023
Automatic Landmarks Correspondence Detection in Medical Images with an
  Application to Deformable Image Registration
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image RegistrationJournal of Medical Imaging (JMI), 2021
Monika Grewal
J. Wiersma
H. Westerveld
Peter A. N. Bosman
Tanja Alderliesten
MedIm
201
11
0
06 Sep 2021
RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis
  Children Patient Follow-up
RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-upMultimedia tools and applications (MTA), 2020
Insaf Setitra
Noureddine Aouaa
A. Meziane
Afef Benrabia
H. Kaced
H. Belabassi
Sara Ait Ziane
N. Zenati
Oualid Djekkoune
109
1
0
20 Mar 2020
1
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