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IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration
31 October 2021
M. Nakao
M. Nakamura
T. Matsuda
3DH
MedIm
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Papers citing
"IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration"
5 / 5 papers shown
Title
PolyPose: Localizing Deformable Anatomy in 3D from Sparse 2D X-ray Images using Polyrigid Transforms
Vivek Gopalakrishnan
Neel Dey
Polina Golland
3DH
MedIm
272
0
0
25 May 2025
A Review on Organ Deformation Modeling Approaches for Reliable Surgical Navigation using Augmented Reality
Zheng Han
Qi Dou
78
1
0
05 Aug 2024
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach
Sarina Thomas
Cristiana Tiago
Børge Solli Andreassen
S. Aase
Jurica Šprem
Erik Normann Steen
Anne H. Schistad Solberg
Guy Ben-Yosef
84
0
0
29 Feb 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling
Mingjian Li
Mingyuan Meng
M. Fulham
David Dagan Feng
Lei Bi
Jinman Kim
VLM
144
1
0
19 Jan 2024
Iterative PnP and its application in 3D-2D vascular image registration for robot navigation
Jingwei Song
Keke Yang
Zheng Zhang
Meng Li
Tuoyu Cao
Maani Ghaffari
72
4
0
19 Oct 2023
1